Data Engineer

3 days ago

Mumbai, Maharashtra, India Talent Socio Full time ₹ 15,00,000 - ₹ 25,00,000 per year

We are building a next-generation Customer Data Platform (CDP) powered by the Databricks Lakehouse architecture and Lakehouse Engine framework. We're looking for a skilled Data Engineer with 4-9 years of experience to help us build metadata-driven pipelines, enable real-time data processing, and support marketing campaign orchestration capabilities at scale. Responsibilities : - Configure and extend the Lakehouse Engine framework for batch and streaming pipelines. - Implement the medallion architecture (Bronze -> Silver -> Gold) using Delta Lake. - Develop metadata-driven ingestion patterns from various customer data sources. - Build reusable transformers for PII handling, data standardization, and data quality enforcement. - Build Spark Structured Streaming pipelines for customer behavior and event tracking. - Set up Debezium Kafka for Change Data Capture (CDC) from CRM systems. - Design and develop identity resolution logic across both streaming and batch datasets. - Use Unity Catalog for managing RBAC, data lineage, and auditability. - Integrate Great Expectations or similar tools for continuous data quality monitoring. - Set up CI/CD pipelines for deploying Databricks notebooks, jobs, and DLT pipelines. Requirements : - 4-9 years of hands-on experience in data engineering. - Expertise in Databricks Lakehouse platform, Delta Lake, and Unity Catalog. - Advanced PySpark skills, including Structured Streaming. - Experience implementing Kafka Debezium CDC pipelines. - Strong in SQL transformations, data modeling, and analytical querying. - Familiarity with metadata-driven architecture and parameterized pipelines. - Understanding of data governance: PII masking, access control, and lineage tracking. - Proficiency in working with AWS, MongoDB, and PostgreSQL. - Experience working on Customer 360 or Martech CDP platforms. - Familiarity with Martech tools like Segment, Braze, or other CDPs. - Exposure to ML pipelines for segmentation, scoring, or personalization. - Knowledge of CI/CD for data workflows using GitHub Actions, Terraform, or Databricks CLI.

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