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Mid-level popular Data Engineer role, metro location, and broad cloud/data skillset increase candidate competition.
Data engineering skills are broadly transferable across industries, lowering background sensitivity.
Explicit 3–5 years and mandatory Snowflake/Databricks/AWS skills create strict technical filters.
Design, develop, and maintain scalable data pipelines and engineering solutions using Snowflake, Databricks, and AWS data services.
Develop and optimize data ingestion, transformation, and processing workflows on cloud platforms, ensuring data quality and reliability.
Support deployment, monitoring, production support, and troubleshooting as part of the application lifecycle in a hybrid work environment.
3-5 years of experience in data engineering and ETL/ELT development.
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
Hands-on experience with Snowflake, Databricks, and AWS data services including AWS Glue, S3, and Lambda.
Shift timing: 5:30 PM to 2:30 AM; work mode is hybrid; primary location Chennai.
Experienced in building and optimizing cloud-based data pipelines and workflows using Snowflake, Databricks, and AWS technologies.
Strong SQL skills and solid understanding of data modeling, data warehousing, and data transformation concepts.
Capable of independently handling design, development, production support, and collaboration with technical and business teams in a global delivery environment.