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Data Engineer ( Lead / Senior Lead Software Data Engineer) @ Virtusa

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 Data Engineer ( Lead / Senior Lead Software Data Engineer)

Job Description

  • 6+ years of experience in data engineering, specifically in cloud environments like AWS.
  • Proficiency in PySpark for distributed data processing and transformation.
  • Solid experience with AWS Glue for ETL jobs and managing data workflows.
  • Hands-on experience with AWS Data Pipeline (DPL) for workflow orchestration.
  • Strong experience with AWS services such as S3, Lambda, Redshift, RDS, and EC2.

Technical Skills:

  • Proficiency in Python and PySpark for data processing and transformation tasks.
  • Deep understanding of ETL concepts and best practices.
  • Familiarity with AWS Glue (ETL jobs, Data Catalog, and Crawlers).
  • Experience building and maintaining data pipelines with AWS Data Pipeline or similar orchestration tools.
  • Familiarity with AWS S3 for data storage and management, including file formats (CSV, Parquet, Avro).
  • Strong knowledge of SQL for querying and manipulating relational and semi-structured data.
  • Experience with Data Warehousing and Big Data technologies, specifically within AWS

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Virtusa
Location(s): Bengaluru

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Keyskills:   Python Pyspark lambda Data Pipeline Big Data AWS Glue Data Warehousing AWS SQL

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