Data Engineer

Must have : Date of birth

Full resume

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Overview :

We are seeking an experienced data engineer to deliver high-quality, scalable data solutions on Databricks and AWS for one of our Big Four clients. You will build and optimize pipelines, implement medallion architecture, integrate streaming and batch sources, and enforce strong governance and access controls to support analytics and ML use cases.

Key Responsibilities :

• Build and Maintain Data Pipelines : Develop scalable data pipelines using PySpark and Spark within the Databricks environment.
• Implement Medallion Architecture : Design workflows using raw, trusted, and refined layers to drive reliable data processing.
• Integrate Diverse Data Sources : Connect data from Kafka streams, extract channels, and APIs.
• Data Cataloging and Governance : Model and register datasets in enterprise data catalogs, ensuring robust governance and accessibility.
• Access Control : Manage secure, role-based access patterns to support analytics, AI, and ML needs.
• Team Collaboration : Work closely with peers to achieve required code coverage and deliver high-quality, well-tested solutions.
• Optimize and Operationalize : Tune Spark jobs (partitioning, caching, broadcast joins, AQE), manage Delta Lake performance (Z-Ordering, OPTIMIZE, VACUUM), and implement cost and reliability best practices on AWS.
• Data Quality and Testing : Implement data quality checks and validations (e.g., Great Expectations, custom PySpark checks), unit / integration tests, and CI / CD for Databricks Jobs / Workflows.
• Infrastructure as Code : Provision and manage Databricks and AWS resources using Terraform (workspaces, clusters, jobs, secret scopes, Unity Catalog objects, S3, IAM).
• Monitoring and Observability : Set up logging, metrics, and alerts (CloudWatch, Datadog, Databricks audit logs) for pipelines and jobs.
• Documentation : Produce clear technical documentation, runbooks, and data lineage for governed datasets.

Required Skills & Qualifications :

Preferred Skills & Qualifications :