Data Engineer

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Crescent Techservices

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python SQL Kubernetes Airflow Git Glue pySpark Jupyter Docker AWS Amazon S3 ETL

Job Description

Role: Data Engineer

Location: Remote

Experience: 5+ Years

Required Skills: AWS Glue, AWS Step Functions, Python, SQL, PySpark


Requirements:

  • Python & PySpark – Assisted in building ETL pipelines for structured and semi-structured data.
  • Airflow – Supported DAG development and gained familiarity with pipeline orchestration.
  • AWS S3 & Glue – Loaded data into cloud storage and supported basic transformations.
  • Git & Jupyter – Used notebooks for prototyping and Git for version control.
  • Docker/Kubernetes – Demonstrated foundational knowledge of containerization and orchestration concepts; capable of supporting Docker-based packaging and understanding Kubernetes-managed deployments in a team environment.

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