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Analytics Engineer

Company: Rearc
Location: New York
Posted on: March 20, 2023

Job Description:

At Rearc, we believe that empowering engineers drives innovation. We use cloud-native architectures and modern data engineering practices to help data engineers, data scientists, and business analysts realize their full potential. We hire engineers who value ownership and freedom and have outstanding leadership abilities and technical expertise.

We are building a team of knowledgeable and competent data engineers that build best-in-class solutions to help our customers realize the full potential of data in their business.

Our engineers are creative problem-solvers who have put together a growing library of over 500 datasets and continue to build out the cloud data platform that delivers this data to customers in a robust manner.

Our engineers are also hands-on-keyboard leaders who advise and consult with our customers on data strategy and work with them to unlock the value of their data with cloud data pipelines and infrastructure.

Analytics Engineers at Rearc have experience telling stories through data and data modeling. They serve as data Subject Matter Experts (SMEs) within our consulting organization focused on EDA, data modeling, data visualization, and have some interest in either Data Engineering or Machine Learning. They work directly with our customers' teams to transform, derive value from, and work with data at scale.

What you'll do...

  • Work with the Rearc Data team to explore existing data sets and validate new ones
  • Work with customer teams to transform and communicate high-value datasets
  • Help develop and expand the cloud data platform that transforms, validates and serves 400+ datasets to Rearc's customers
  • Opportunity to advise customers on data strategy and architecture
  • Opportunity to lead teams of customer engineers and Rearc engineers on consulting engagements
  • Continuous learning to keep up with industry trends and best practices
  • Share knowledge with Rearc engineers, our customer's engineers, the open-source community and the world We're looking for...
    • Strong experience working with SQL to transform data into usable formats
    • Strong experience working with Python
    • Experience working directly with business stakeholders deriving value from data
    • Data Modeling experience
    • Experience working in cloud ecosystems - AWS, GCP, Snowflake, Databricks, or Azure
    • Understanding of data lake table constructs - Hudi, Iceberg, or Delta Lake
    • Data Warehousing experience and best practice around query optimization and table/schema structuring
    • Ability to engage with customers to help them understand the value proposition of the data that you are working with Bonus points for...
      • Industry experience in Healthcare, Financial Services, or ESG
      • Experience with data productization and monetization
      • Experience using infrastructure as code tools such as Terraform, CloudFormation, or AWS CDK
      • Open Source contributions
      • Certifications in one or more of the following: AWS, Databricks, GCP, or Azure

        Your first few weeks at Rearc will be spent in an immersive learning environment where our team will work with you to design a custom learning path for you to follow until you begin your first engagement.

        Our engineers typically work on teams of two to three Rearc engineers. Our engagements can last anywhere from a couple of months to longer than a year depending on our customers' needs.

        Benefits and Perks

        Health Benefits

        Generous time away

        Maternity and Paternity leave

        Educational resources and reimbursements

        401(k) plan with a company contribution

        Rearc is committed to a diverse and inclusive workplace. Rearc is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Keywords: Rearc, New York , Analytics Engineer, Engineering , New York, New York

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