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Job Description
Structured overview of role & requirementsAbout This Role
Lead the transition and optimization of data pipelines onto an enterprise data platform focusing on performance, scalability, and operational reliability.
Support onboarding of diverse datasets using standardized ingestion and transformation frameworks, including batch and streaming data via AWS services.
Provide technical leadership through code reviews and collaboration with global teams, ensuring engineering best practices and operational readiness.
Minimum Requirements
5–7+ years of experience in data engineering or related technical domains with hands-on batch and/or streaming pipeline development.
Experience with Databricks platforms, lakehouse technologies (Delta Lake, Apache Iceberg), and AWS data engineering services (S3, Glue, Lambda, Kinesis, IAM).
Practical experience with AI-assisted engineering tools (Claude, GitHub CoPilot, LLMs) including validation and responsible use.
Work Experience Required: 5–7+ years of relevant experience explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in data pipeline delivery and stabilization on Databricks and AWS enterprise platforms with governance and security focus.
Able to provide technical guidance and bridge communication between offshore teams and global stakeholders to resolve delivery challenges.
Skilled in applying AI tools to accelerate engineering tasks while ensuring correctness, security, and maintainability of outputs.