Data Engineer
VirtusaPune, Maharashtra, India
Posted May 31, 2026
Full Time
About the Company
Virtusa is a global product and platform engineering firm headquartered in Massachusetts, delivering end‑to‑end digital transformation services that accelerate growth, profitability, and sustainability for enterprises worldwide. Leveraging a domain‑driven approach, Virtusa blends strategy, design, and engineering expertise to create industry‑specific solutions in areas such as AI, cloud, data analytics, and customer experience. The company serves a broad portfolio of sectors—including financial services, healthcare, media, travel, manufacturing, and technology—through a network of global delivery centers. Virtusa’s distinctive value lies in its ability to combine deep industry knowledge with cutting‑edge technology to deliver measurable business impact and continuous innovation.
Job Description
Experience in AWS services like S3, Lambda, Pyspark, Airflow, Glue, Athena, Lake formation,Step functions, Kinesis, Streaming Pipeline etc., programming in Python, Functional Testing (FT) & Unit Testing (UT), CI/CD concepts - Jenkins, SQL DB Script, data migration on AWS platforms, Big Data technologies (Terradata, Snowflake, Spark, Redshift, Kafka, etc.), data management process on AWS.
Requirements
- 6-10 years of experience
- Experience in AWS services like S3, Lambda, Pyspark, Airflow, Glue, Athena, Lake formation,Step functions, Kinesis, Streaming Pipeline etc.
- Experience in programming in Python, Functional Testing (FT) & Unit Testing (UT).
- Experience in programming in CI/CD concepts - Jenkins, SQL DB Script.
- Experience performing 2-3 data Migration projects on AWS platforms.
- Experience in Big Data technologies (Terradata, Snowflake, Spark, Redshift, Kafka, etc.).
- Experience with data management process on AWS.
- Experience in implementing complex ETL transformations on AWS using Glue.
- Familiarity with relational database environment (Oracle, Teradata, etc.).
- Experience in programming in AWS and Python.
- Should have expertise in performing data analysis on AWS platforms.
- Experience in Big Data technologies (Spark, Redshift, Kafka, etc.)
