Lead Data Engineer - AWS Cloud

وصف الوظيفة

WE ARE HIRING!

Integrant Inc. is seeking a dedicated and detail-oriented "Lead Data Engineer - AWS" to join our team. This role encompasses the following responsibilities:

  • Design, develop, and maintain comprehensive data analytical solutions utilizing AWS technologies.
  • Participate in the requirement gathering process, collaborating closely with clients.
  • Provide mentorship to junior team members in data engineering practices.
  • Deliver analytical solutions for clients while facilitating knowledge transfer.

إمتيازات الوظيفة

  • Why Integrant?
  • Competitive compensation package
  • PTO, full medical and dental coverage, etc.
  • Opportunity to travel and work onsite with U.S. customers
  • In-house Technical and English training programs
  • Dedicated learning time (check out our 4Plus1 Program)
  • Interest free loans
  • Flexible work schedules
  • Perks: events, sponsored lunch, game area, rooftop hangout + more!

متطلبات الوظيفة

    • Experience: 8+ years as a Data Engineer.
    • Data Architecture: Experienced in designing and implementing analytical architectures, including Data Warehouses, Data Lakes, and Data Lakehouses.
    • AWS Toolkit: You have experience with numerous AWS tools including S3, SNS, SQS, Lambda Functions, CodeBuild, CodePipelines, ECS Fargate and AppRunner. You also have experience with Terraform, Ansible, CloudFormation or similar DataOps frameworks to build AWS resources.
    • ETL Tools: You have expertise with with any of ETL tools such as Airflow, Dagster, Prefect or similar
    • Data Skills: Strong proficiency in Python, with experience in fetching data from various APIs and manipulating data from files (e.g., Excel, CSV, Google Sheets) using Pandas and DataFrames.
    • Software Engineering Practices: Knowledgeable in software engineering best practices, including coding standards, code reviews, pair programming, source control management, build processes, and automated testing.
    • SQL Expertise: Advanced knowledge and experience in building SQL-based data models. Familiarity with Microsoft relational engines, both on-premises (MS SQL Server, PostgreSQL) and cloud-based.
    • Source Control Systems: Comfortable with using source control systems like Git and associated platforms such as GitHub or Bitbucket.
    • Snowflake Experience: Experience with Snowflake is required.