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Senior Data Engineer
Talent SocioMumbai, MH, India3 days ago
Job type
- Quick Apply
Job descriptionDevelop 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 5-9 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 controls, 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
About the Company
Our client is a pioneering company dedicated to simplifying daily living through an integrated ecosystem for rental, purchasing, and co-living needs. They are committed to delivering exceptional results by harnessing the power of artificial intelligence and machine learning. As a rapidly growing organization, they offer a dynamic work environment with opportunities for professional growth and real-world impact.
Job Title :
Data Engineer - Lakehouse Engine (Martech CDP Implementation)
Experience Required :
5 to 9 years
About the Role :
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 5-9 years of experience to help us build metadata-driven pipelines, enable real-time
data processing, and support marketing campaign orchestration capabilities at scale.
Key Responsibilities
Lakehouse Engine Implementation
- Configure and extend the Lakehouse Engine framework for batch and streaming pipelines
- Implement the medallion architecture (Bronze ->
Silver ->
Gold) using Delta Lake
Real-Time CDP Enablement
DataOps & Governance
Technical Requirements
Must Have :
Nice to Have :
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Senior Data Engineer • Mumbai, MH, India
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