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Metro Mumbai data-engineering lead with popular title and moderate brand draws moderate competition.
Core data engineering skills are highly transferable across industries.
Multiple mandatory technical skills (AWS, PySpark, SQL, Terraform) make shortlisting stringent.
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Lead design and development of scalable, cloud-native data lakes and data warehouses on AWS using services like S3, Glue, Athena, and Redshift.
Build and optimize batch and streaming data pipelines with expertise in SQL, Python, and PySpark for large-scale data processing.
Own solution quality, performance, and production stability with end-to-end responsibility for cloud data engineering workflows and CI/CD platform engineering.
Strong expertise in AWS data engineering tools: S3, Glue, Athena, Redshift, Spark/PySpark.
Proficient in SQL for complex transformations and large data analytics, and strong Python programming skills in data engineering contexts.
Experience with Infrastructure as Code (Terraform/CloudFormation) and building CI/CD pipelines; familiarity with containerization (Docker, ECS, EKS).
Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field.
Work Experience Required: Not explicitly mentioned in the JD.
Location Requirement: Mumbai - Goregaon Prism Tower, India.
Experienced in building scalable, fault-tolerant data workflows leveraging cloud-native AWS services and distributed processing frameworks.
Demonstrates strong ownership of solution quality, performance tuning, and production stability in complex data engineering environments.
Skilled in DevOps practices for data platforms including Infrastructure as Code and CI/CD pipeline implementation within Agile teams.