Key Responsibilities
Design, build, and optimize scalable data pipelines and ETL/ELT workflows.
Perform large-scale data migrations and reverse engineer legacy systems.
Write complex SQL queries and conduct data analysis.
Work with AWS Redshift, S3, Glue, and Lambda for data processing.
Develop automation using Python (preferred) or Java/Scala.
Design and maintain dimensional data models (Star/Snowflake schemas).
Mandatory Skills
6 years of Data Engineering experience with large-scale data migrations.
Solid SQL and data analysis skills.
Hands-on experience with AWS Redshift, S3, Glue, and Lambda.
Proficiency in Python (preferred) or Java/Scala.
Experience with ETL/ELT tools (Informatica, SSIS, or similar).
Solid knowledge of Data Warehousing and Star/Snowflake schemas.
Positive to Have
Salesforce Data Loader & Bulk API.
QuickSight or Tableau.
Experience with legacy system migration and reverse engineering.
Exposure to AI-driven code migration/refactoring.
Interested candidates, please share your updated resume.
📌 Senior Data Engineer Hyderabad
🏢 Apidel Technologies
📍 Hyderabad
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