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Data Engineer (AWS & Snowflake)

Cap*** · Atlanta, GA, United States
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Atlanta, GA, United StatesOnsite
Remuneration
Not specified
Location
Atlanta, GA, United States
Visa sponsorship
Sponsors visa

Job summary

Choosing Cap*** means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible.

Benefits

Like adoption assistance, surrogacy, and cryopreservationSocial well-beingLike subsidized back-up child/elder care and tutoringMentoring, coaching and learning programsEmployee Resource Groups ndPackage to all regular, full-time employees.In the U.And Canada, availableAre determined by local policy and eligibility and may include:Medical, dental, and vision coverage (or provincial healthcare coordination in CRetirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)

Qualifications

  • 2 DBT Experience with DBT Data Build Tool for modeling data and creating data transformation pipelines is a plus
  • 3 AWS services Airflow The candidate should have handson experience with AWS services particularly Apache Airflow for orchestrating complex data workflows and pipelines
  • 4 AWS services Lambda Proficiency in AWS Lambda for serverless computing and eventdriven architecture is essential for this role
  • 6 Fivetran HVR Working knowledge and handson experience on Fivetran HVR
  • and implement solutions
  • Optimize data workflows for performance scalability and reliability
  • Troubleshoot and resolve datarelated issues in a timely manner
  • Stay updated on the latest
  • Develop and manage data extraction transformation and loading processes
  • Optimize and improve existing data pipelines and ETL workflows
  • Ensure data quality and integrity during the transformation process
  • Monitor and troubleshoot issues with ETL jobs

Responsibilities

  • Responsible for designing developing and maintaining scalable data pipelines and ETL processes using AWS Glue.
  • Design develop and maintain data pipelines and ETL processes using Snowflake AWS services Python and DBT
  • Collaborate with data scientists and analysts to understand data

Skills

CommunicationTeamwork

Degrees

AssociateBachelorDegree

Industry

AutomotiveEducationEnergyHealthcareInsurance

Company size

Enterprise

Contract length

3 years