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Established global employer, mid-level generalist Data Engineer, metro location, and broad cloud/data skillset increase competition.
Cloud and data engineering skills are broadly transferable across industries.
Explicit 5–8 years plus mandatory Snowflake/Databricks and AWS skills enforce strict shortlisting.
Design, develop, and maintain scalable data pipelines and engineering solutions primarily using Snowflake, Databricks, and AWS data services.
Develop, optimize, and support data ingestion, transformation, and processing workflows including deployment, monitoring, and production support.
Collaborate with business and technical stakeholders to translate data requirements into technical implementations while ensuring performance optimization and data quality.
5-8 years of end-to-end data engineering experience.
Hands-on expertise in Snowflake and/or Databricks, AWS Glue, S3, and Lambda.
Bachelor's degree in Computer Science, IT, Engineering, or a related field.
Shift requirement: 5:30 PM to 2:30 AM; Location: Chennai; Work mode: Hybrid.
Experienced in cloud data platforms with strong skills in SQL, data transformation, and data warehousing concepts.
Capable of designing scalable and efficient data pipelines with troubleshooting and performance optimization experience.
Able to independently manage technical and business stakeholder communication and has experience mentoring junior engineers.