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We are looking for a talented Data Engineer within the IT department who will be instrumental in evolving the data and reporting platform. He/She will be instrumental in integrating data from multiple sources (Cloud and On Premise) into BI Tools and Reporting Platforms.
Required:
- Strong English communication skills.
- 5+ years of experience on Business Intelligence
- Hands-on experience with Talend and Power BI
- Experience doing data modeling for different layers of data warehouse
- Soild experience on SQL query
Working Hours:
9am to 6pm Philippine TimeWhat We Offer:✔ Full-time role
✔ Above-industry salary package✔ Up to 60,000 signing bonus✔ HMO benefits✔ Permanent work-from-home setup✔ Free upskill training and development programs✔ Amazing work environment
Data Entry/Processing Position
- USA
- $17.00
- Hourly
- Full Time
Full benefits including Company paid Medical, Dental, Vision, Short-Term Disability insurance. 401k, and PTO
Anderson Business Advisors is a planning and consulting firm with a focus on providing high-quality services to real estate investors, stock traders, and business owners. Services provided focus on Asset Protection, Estate Planning, and Tax Planning. We are looking to add a few talented people to our organization as an Entity Processor.
Our Company Values are: Integrity | Resilient | Driven | Innovative | Conscientious
Starting rate of pay is $17.00 per hour. Full benefits provided for employee at no cost.
Requirements:
- Enjoy helping others
- Excellent computer skills
- Proficient with MS Office and/or Google Apps
- Happy to pick up the phone and help clients with any concerns they have
Job Duties:
- Filing Corporations, LLCs and LPs with the Secretary of State
- Data Entry
- Emailing clients documents they request
- (training is provided)
Full Benefits Include:
- Competitive compensation
- Insurance plans including health, dental, and vision; short and long term disability, 401(k) plan and more
- Generous allocation of paid time off and holidays
- Unlimited career growth potential
TO APPLY VISIT: https://andersonadvisors.applicantpro.com/jobs/
A background check, social media/internet search, and drug screen are required for employment.
Anderson is an EEO employer as defined by the EEOC.
Data Lead
UK, Remote
£80,000 - £90,000
< class="h2">⭐️ Our Perks
❤️ Values-driven culture - we're really proud of our culture. Check out our Employee Guide for more detail!
< class="h3">Drive your own experience 🙌📚 Learning and Development - £1,000 learning budget each year + unlimited learning leave to drive your own development.
🤸🏽♂️ Flexible working hours - You have the choice to work in the way that brings out the best in you whether you're an early bird or night owl.
🏢 Distributed working - £500 WFH allowance and co-working Spaces pass.
💻 Technology - Your choice of Mac or Windows via Hofy.
📮 Surprises - Letterbox gifts.
< class="h3">Empowering you to be your most authentic self ✨🏖 25 Holiday Days + your local bank holidays — because we're global like that, thanks Omnipresent
🎂 1 Birthday day - unless you're the Queen and get 2! 👑
🏠 1 Life Event day - to recognise life's big moments like a wedding, graduation, moving house
🛌 2 Duvet days - to press the pause button and reset mentally, no questions asked
🙏🏼 Religious Celebrations Leave — time to celebrate what's important to you, regardless of your faith or where you are in the world
💜 Compassionate Leave — up to 5 days time off or more if you lose a loved one, regardless of who it is - whether you've miscarried or lost a pet, you don't need to tell us why
⛅ Seasonal Hours — 2 hour lunch breaks on Tues & Thurs in Winter ❄️, we finish at 2pm on Fridays in Summer ☀️
🧠 Mental Healthcare - Unlimited qualified therapy-based support through Oliva
🤕 Paid sick leave - Enhanced sick pay up to 40 days each rolling year
< class="h3">UK Learnerbees 🇬🇧🤒 Income Protection - 75% of your salary covered for 3 years if you become ill long term
👩🏾⚕️ Healthcare Cash Plan - Level 5 cover with SimplyHealth, you get money back when you spend on health appointments e.g. physio, dental, optician + more
💰 Pension — Learnerbly matches 4% of your salary into your pension pot to help you save for the future
< class="h2">✨ Learnerbly < class="h5">Who we are
Our mission is to be the most inspiring learning platform for people and organisations around the world. We are a team of 60+ and over the last four years, we’ve built an online marketplace curated from 250+ of the best learning providers. So far, we’ve supported thousands of employees from fast growing tech scale-ups and progressive businesses like GoCardless, Curve, King and Freetrade to power their learning culture. We've only just started our journey to help unlock everyone's full potential.
Read more about us here, find out what we’re talking about on our blog or see how we empower companies to commit to a culture of learning during a shift to more remote based working!
< class="h5">Our Mission, Vision, and Purpose- Our mission is to be the most inspiring learning platform for people and organisations around the world.
- Our vision is to create a world where everyone unlocks their full potential
- We believe everyone can make a difference.
< class="h2">🙌 The role < class="h5">Data at Learnerbly
Learnerbly is looking for a data lead to help drive our growth, data insight and business intelligence as we continue to scale. Reporting into Jonny Day, our COO we'll need you to own our data pipework, business intelligence and data insights, partnering with all areas of the business to inform, educate and influence rapid decision making.
You are passionate about data, data architecture and business intelligence. You are confidently able to collect, store and hold data. You will be the keeper and warden of our data lake coupled with your ability to then fish, siv and cultivate information, insight and knowledge from the ecosystem you have created. You are highly curious by nature and understand how marketing, sales, CRM, finance, app and operational data can arm and enable others to drive change and guide efficiency. Finally you are passionate about using data to paint the picture and tell the story required for each department. Your insights, dashboards and automations will drive alignment focus and deliver marginal gains across the organisation.
Working closely with our commercial teams you will love collaboration (because we really do 🙂) and you will have where possible customer first, growth and product centric. You're not phased by changing priorities and focus, you know how to adapt quickly and use your experience, data and business intelligence to course correct. You have a keen eye for growth and are capable in using the latest in sales, marketing, finance, operations and business intelligence software.
Joining at this early stage will give you a role with huge autonomy as you act as a guiding light for our data and business intelligence team within Learnerbly. Identifying opportunities as they appear, you will be able to adapt to drive them through successfully. With the support of the rest of Learnerbly, we will be looking to you to build a high performing data team that will set us up for success as we continue to scale.
Even if you don’t hit all the points below but are excited about the challenge we would still love to hear why you could be a great addition to us here at Learnerbly!
< class="h5">What you'll be getting up to- Building, forming and creating our new data and business intelligence team. (Lay the foundations for future success)
- You will work very closely with our COO, Senior project manager and Head of Finance to define the direction, vision and strategy of the data function within Learnerbly.
- Leverage our existing systems, tools and tech stack to centralise data, insight and knowledge into one place.
- Educate, upskill and document where, how and why data can be used more effectively within each department.
- Work very closely with the revenue, finance, operations, engineering and product teams (Sales, Customer Success, Data and Partnerships).
- You have proven experience building an international (B2B/B2C)SaaS business from Series A+.
- You have a deep interest and passion for data analytics, data insight, business intelligence and informational story telling.
- You have a 'customer first' mindset and the intuition to understand our customers needs and aspirations.
- You have a curious mindset and understand how to arm others with the data and insight they need to drive impact, action and change.
- You have experience in using Segment, Quicksight, Mixpanel, Google Analytics, Chargebee, Databox and Hubspot.
- You have led best-in-class data teams, have designed data roadmaps, can prioritise them based on impact and outcomes, and you have consistently overachieved your quantified objectives.
- You're comfortable recruiting, coaching and line managing a team of multi-disciplined data analysts, architects and scientists.
- You're collaborative and understand the principles of how product, revenue and operations align to drive focus and value.
- You're great at writing OKRs and setting the direction of a newly formed data function to ensure your team remain protected from the demands of the business to focus on key priorities.
Research shows that some people are less likely to apply for a role unless they are 100% qualified. Your experience, skills and passion will set you apart so tell us about your achievements, irrespective of whether they are personal or work-related, tell us about your journey, and about what you learnt.
So, if this role excites you, don't let our role description hold you back, get applying!
< class="h2">🕵️♀️ Hiring Process
- 📞 Initial screening (30mins)
- 💡 Capabilities Interview (1 hour)
- 🎨 Task Interview (1 hour)
- 💛 Values Interview (1 hour)
Support - If you have a medical condition or an inidual need for an adjustment to our process, and you believe this may affect your ability to be at your best - please let us know so we can talk about how we can best support you and make any adjustments that may be needed.
< class="h2">💛 Our Values
We look for people who share our values and can add to our culture. Values are shared beliefs that guide our decision-making, culture is how we function as a group and how we live our values as iniduals.
- Always Grow: We are curious and continuously take ourselves out of our comfort zone to spark new ways to develop ourselves, and each other. We humbly respond to feedback and proactively share advice with others to reveal new insights and accelerate growth. We proactively share what we learn and seek the contrary opinion in the room to ersify perspectives.
- Include Intentionally: We go the extra mile to include erse perspectives in everything we do, to create an environment where everyone can belong. We deliberately default to trust and embrace everyone, to create a safe space to share our thoughts and make mistakes to learn from. We bring our best authentic selves to the party, to live more fulfilling lives.
- Create Impact: We think big and bold, and use our resourcefulness to bring solutions to the table and achieve Learnerbly goals. We experiment and deliver fast, and take pride in the quality of our work to drive the best outcome for our user. We set boundaries and prioritise ruthlessly to protect our time, focus, and wellbeing, so we can perform sustainably.
- Win Together: We are accountable to ourselves and each other, we communicate clearly and simply to drive alignment and enable action. We make the time to support others and are able to ask for help when it's needed to move forward as a team. We celebrate each other's successes because when we win, we win together. And if we don't win, we learn together.
< class="h2">🌈 Diversity, Equity, Inclusion and Belonging
At Learnerbly, we're committed to cultivating an environment that promotes ersity, equity, inclusion and belonging. We are a global community and we believe our unique qualities should be celebrated as they are critical to our innovation. It's essential to us that you bring your authentic self to work every single day, no matter your age, ethnicity, religion, citizenship, gender identity, sexual orientation, disability status, caring responsibilities, neuroersity, or otherwise. Inclusion isn't just an initiative at Learnerbly. We strive to embed it not just into our values but throughout our entire culture.
Dina is growing! We are looking for a senior backend data engineer to join our tight-knit engineering team. Success in this role includes building, testing, deploying, scaling, and even rewriting our application data models and data pipeline to continue to support our company's growth.
Dina is a leading Chicago-based health-tech company whose mission is to create a better life for aging adults through solutions that connect healthcare providers, caregivers, families and community resources. Our web and mobile applications are the industry's first fully integrated suite for HIPAA-compliant communications including care coordination, transitions, and referrals. All of this is powered by our in-house digital assistant, whose predictive models identify patients who show a high risk for returning to the emergency department or requiring specialized support to optimize the health and safety of each patient's journey.
Please note, Dina is now a remote-first company. We have made the adjustments necessary so that interviewing, onboarding, and working through our roles can all be performed remotely.
You Will:
- Build, improve, and support our application data models and event-driven data pipeline.
- Define and implement data migration plans for legacy solutions to extract, cleanse, transform, enrich, load, and validate required data for successful implementation.
- Collaborate with the members of the product and engineering team to define and scope requirements
- Develop, test, and deploy production-quality code that is well written secure, tested, performant, and documented
- Review code contributions, in the form of pull requests or otherwise, from teammates and peers
- Work with all aspects of our cloud-native environment to create and enhance features of our web and mobile applications
- Have ownership of large systems or subsystems within the technical stack. This includes full responsibility for influencing the overall objectives and long-term goals of those systems
- Drive significant improvements in application telemetry and alerting, improving our team's visibility into the health of our systems and applications.
- Provide technical leadership, mentorship and guidance to all engineers on the team to help them grow their technical expertise and experience
- Actively identify technical impediments (technical debt) and propose and implement solutions that will enable efficiency for the team
- Drive innovation on the team and having the willingness to experiment to confront problems of immense complexity, scope and impact
You Are:
- Self-driven and motivated by understanding how to provide value to customers and stakeholders and deliver reliably on-time
- A problem solver with the ability to quickly see the complexity and nuances of the challenge in front of you and provide options and solutions in a timely manner
- Excited to work in a fast-paced startup environment that focuses building a sustainable business by delivering a world-class experience to our users and making advocates of our customers
- Eager for personal and professional career growth opportunities
- A team player that is driven by both collaborative and asynchronous or independent work opportunities
- Skilled in developing complex data pipelines with regular, automated testing and validation.
You Have:
- Confidently shipped moderately sized features and improvements with minimal guidance and support from others on the team
- Demonstrated experience with ETL / ELT, Data Modeling, and working with large-scale datasets.
- Proven experience with API development, specifically REST APIs in a NodeJS framework (Express, NestJS) or similar
- Expert knowledge in data engineering standards and best practices, including respective tools and technologies (e.g. Apache Spark, SQL databases, NoSQL databases, DBT, etc.)
- Proven experience designing, implementing, and supporting cloud-native and scalable solutions that rely on cloud-based platform services, such as queues, storage, and various databases, as foundational dependencies
- A clear understanding or experience with distributed systems design - including theories like CAP theorem, building resilient systems and event-driven architectures
- Strong ability to communicate technical, architectural, structural, and organizational problems and propose well-thought iterative solutions clearly and concisely
- A desire to build, mentor, grow and lead teams of engineers in their day-to-day and help remove obstacles that hinder productivity
- Experience with zero-downtime data migrations
- JavaScript/Typescript (AngularJS) with Stylus/Sass & Ionic on the frontend; Node.js (NestJS with Typescript) on the backend.
- Cloud-native architecture including use of Platform as a Service offerings like Firebase, MongoDB and from vendors like Azure, Google Cloud Platform and Amazon Web Services
- Continuous Integration and Delivery via GitHub Actions and CircleCI
You Get:
- Competitive Salary with Equity Opportunities
- Unlimited PTO with a minimum one week of paid time off
- Up to 90% of your Health Insurance paid by Dina!
- Life and disability insurance
- 401k Retirement Savings Plan
- To be a part of a small early-stage startup as we scale into growth stage
At Evina, we value ersity.
For us, this also means that we look for excellence and high potential in our candidates: if you don't exactly match all the skills or your career path is atypical, apply anyway! We look for high potential in you, not to check boxes.
WHO ARE WE LOOKING FOR?
Evina is looking for a DATA ENGINEER. You will guarantee the confidentiality, security, integrity, quality and velocity of Evina's data pipelines, from data capture to its restitution in internal or external dashboards. You will be responsible for the perfect availability of data capture and restitution tools to business teams and customers.
DATA AT THE HEART OF THE FIGHT AGAINST FRAUD
Evina processes more than 50 million transactions per day on all products used by its customers. The quality of their processing is a major challenge to maintain the excellence of the solutions developed by Evina and the customer relationship.
Mission details :
- Audit and take ownership of existing data pipelines, making them more scalable, robust and less demanding
- Anticipate and manage load peaks
- Propose new scalable pipelines and perform unit and integration tests
- Access, process and analyze various data sources (structured/unstructured)
- Manage the data lifecycle with a view to efficient processing and restitution of data and optimizing storage and costs
- Understand and translate business needs and objectives into technical designs
- Optimize/create dashboards for internal and external use to ensure reliable data is displayed in the dashboards in real time
- Optimize data warehouse databases (compression, sorting strategy and data structure)
- Implement alerts and monitoring of pipelines to guarantee their integrity 24 hours a day, as well as to supervise business events (e.g. fraud peaks)
- Participate in the needs of data visualisation tools for external and internal customers
If you joins us, you will contribute to achieve these strategic outcomes :
- Setting up a consolidated framework for the management of Evina data based on the best standards and the state of the art
- Guarantee availability for the data provisioning stack
- Guarantee availability for the data capture stack
- Guarantee the proper management of load peaks
- Make dasbhoards available to clients in less than one second
- Participate in the implementation of the best standards in terms of security and data protection
- Ensure the availability of systems 24/7
WHO ARE YOU?
You will successfully complete all these assignments if:
- You have a 5-year degree in engineering or a master in computer science
- have at least 5 years of experience in a data engineering position in companies managing the same volume of data as Evina
- Experience in operating large data warehouses or data lakes
- Experience in ETL pipeline, data modeling and data architecture
- You master: Redshift, Python, Elasticsearch, AWS environment, Kafka, Redis, Data visualization tools
- Nice to have: Node JS, Neo4J, Java, Scala, AWS S3
- You are meticulous, curious and spend time on technical monitoring
- You know how to communicate with technical and non-technical teams as well as with clients.
POSITION INFORMATION
- Open ended contrat
- Workplace: 22 rue Chapon 75003 Paris, France and/or remote work
- Position available: immediately
WHAT WE OFFER ?
- An exciting project and a meaningful job with a real impact in the fight against cybercrime
- An international environment where we value ersity and work balance
- A room to grow personally and professionally while working with the best
- A caring and trusting environment where you can propose and have real responsibilities
- Freedom for you to choose between 100% remote work, hybrid or enjoy our nice office in Paris
At Echo Analytics, we work with innovative companies that need location data and insights. We provide our clients with a real picture of the world and its movement to help them answer complex questions. And we do so by matching and analyzing an unmatched collection of internal and external geospatial data sources, both open source and paid.
This position is open to full-remote as long as it is within the same time zone as the EU5, with the expectation that you can easily travel to our Paris office on a regular basis (1 or 2 times per month). You will work directly with internal and external partners to help us achieve our data and commercial strategy. You will target potential data partners and work on data valuation and evaluation. In this role, you will directly contribute to the success of our data strategy by working on acquiring and onboarding new data partners into our ecosystem and maintaining our existing network of data partnerships.
< class="h2"> < class="h2">TasksYour responsibilities will include, but not be limited to:
- Identify data partners, both open source and paid, that will help us improve our datasets and provide complex analysis to our clients.
- In this strategic role, you will be working directly with one of the founders but also closely collaborating with the R&D team to help them acquire the data sources and data attributes they need in the right formats.
- You will also work with the sales teams as they can help you identify potential partners.
- Manage our existing network of Data Partners.
- Drive and own the new data evaluation process.
- Identify opportunities for data bartering.
- Identify new potential data partnerships, engage, evaluate, and close those partnerships.
- Act as a subject matter expert on third-party data to support product development efforts that leverage that data, ensuring data standards and practices are adhered to.
We are looking for a self-motivated person with experience in both commercial and data. This person would ideally have an existing portfolio of business relationships with data companies or be able to quickly build one up. Half commercial mindset, half technical mindset, we are looking for someone who can help us build our product offering by partnering with many different types of data companies.
- Outstanding interpersonal and communication skills, both verbal and written.
- Comfortable working with, and understanding, complex data issues.
- Inspires trust with both external and internal clients.
- Comfortable driving consensus across the company and making timely decisions.
- Enjoy analytical thinking.
- Able to speak and engage with both technical teams and business leaders.
- Comfortable managing, negotiating and closing contracts.
- 2+ years experience in data partnerships, preferably in the location data ecosystem.
- 5+ years of experience working with data (either from the business angle or the technical angle).
- Highly competitive remuneration package.
- A great international team.
- A contemporary office space in the centre of Paris.
- Hybrid work model.
- Free coffee and snacks. (for in office)
- Healthcare: Alan (in France, and equivalent abroad)
- An amazing and supporting work environment focused on your professional growth and development.
Please submit a resume in English.
We are looking forward to hearing from you!
Office location: Paris – Batignolles
Desired start date: ASAP
Company Overview:
Edquity is an anti-poverty technology focused on redesigning the safety net to provide cash for all Americans in need. Edquity does this in higher education, where we streamline access to emergency aid for college students. Furthermore, in partnership with state and municipal governments, where we create a fast and equitable infrastructure to administer cash benefits to the iniduals who need it most. Our methodology harnesses the collective power of sociology, behavioral science, and technology to address common pitfalls, including racial bias, inefficiency, compliance risk, and lack of transparency and monitoring. To date, Edquity has administered over $100 million in government funding to more than 100,000 recipients. Moreover, Edquity has demonstrated that we improve key societal outcomes, such as graduation rate, by as much as 2x.
The organization has raised over $8M in funding and is scaling rapidly, so that we can administer hundreds of millions in emergency cash assistance to students and low-income Americans in need.
Job Overview:
Edquity is seeking an experienced Data Engineer who is passionate about enhancing financial stability and social mobility in higher education and improving college graduation rates for low and middle-income students.
The Data Engineer will participate in the ingression, management, and storage of data. As a Data Engineer, you should be an expert with data warehousing components (e.g. Data Modeling, ETL, and Reporting) and integrations. You should have a deep understanding of the architecture for enterprise-level data warehouse solutions using multiple platforms (RDBMS, Columnar, Cloud). You should be an expert in the design, creation, and management of large datasets, and have excellent business and communication skills. The Data Engineer should work towards a vision beyond the daily tasks with a proactive, solutions-oriented mindset and appreciate autonomous responsibility.
What you will do:
- Design and develop scalable data models where highly complex data relationships exist
- Architect and maintain highly automated and scalable ETL/ELT data pipelines
- Provision, optimize, and maintain data feeds to external systems
- Create visualization and reporting as needed
- Creating well written technical documentation
- Designs new functionality in our existing components for the team to leverage
- Evangelize best practices around data and team processes
What you should have:
- Experience writing SQL and Python, solving complex data problems, good data modeling, as well as building automated data pipelines
- Be a quick learner, self-starting, and have the ability to maintain and build within a horizontal and vertical scaling data system
- Expert at writing and optimizing SQL scripts
- Solid working knowledge of relational database platforms and cloud database platforms
- Experience with cloud data environments
- Experience scaling data architecture
- Experience integrating external data sources via API
Compensation and Benefits:
The salary range for this position has been benchmarked in relation to the scope of the role, market rate, company stage, and internal equity. The salary for this role will be between $160,000 - $180,000. Where a candidate falls within the band is determined by skillset, experience level, and geographic location. In addition to base salary, this role will come with a total compensation package that includes equity shares and competitive benefits. Some of our benefits include:
- Fully Paid Health Insurance (Medical/Vision/Dental)
- Unlimited PTO
- 11 Paid Company Holidays
- Generous Parental Leave Benefits
- 401k matching
- Professional Development Stipend
- Potential for Equity
- Many others!
Edquity is committed to building a erse staff and strongly encourages applications from candidates of color. Edquity provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.