Senior Data Engineer

1 week ago


Navi Mumbai, India UIX Labs Full time

JOB DESCRIPTION : Data EngineerWe are seeking a highly skilled Data Engineer with deep expertise in Apache Kafka integration with Databricks, structured streaming, and large-scale data pipeline design using the Medallion Architecture. The ideal candidate will demonstrate strong hands-on experience in building and optimizing real-time and batch pipelines, and will be expected to solve real coding problems during the interview.Job Description : - Design, develop, and maintain real-time and batch data pipelines in Databricks.- Integrate Apache Kafka with Databricks using Structured Streaming.- Implement robust data ingestion frameworks using Databricks Autoloader.- Build and maintain Medallion Architecture pipelines across Bronze, Silver, and Gold layers.- Implement checkpointing, output modes, and appropriate processing modes in structured streaming jobs.- Design and implement Change Data Capture (CDC) workflows and Slowly Changing Dimensions (SCD) Type 1 and Type 2 logic.- Develop reusable components for merge/upsert operations and window function based transformations.- Handle large volumes of data efficiently through proper partitioning, caching, and cluster tuning techniques.- Collaborate with cross-functional teams to ensure data availability, reliability, and consistency.Must Have : - Apache Kafka : Integration, topic management, schema registry (Avro/JSON).- Databricks & Spark Structured Streaming : 1. Processing Modes: Append, Update, Complete 2. Output Modes: Memory, Console, File, Kafka, Delta 3. Checkpointing and fault tolerance - Databricks Autoloader : Schema inference, schema evolution, incremental loads.- Medallion Architecture implementation expertise.- Performance Optimization : i. Data partitioning strategies ii. Caching and persistence iii. Adaptive query execution and cluster configuration tuning - SQL & Spark SQL : Proficiency in writing efficient queries and transformations.- Data Governance : Schema enforcement, data quality checks, and monitoring.Good to Have : - Strong coding skills in Python and PySpark.- Experience working in CI/CD environments for data pipelines.- Exposure to cloud platforms (AWS/Azure/GCP).- Understanding of Delta Lake, time travel, and data versioning.- Familiarity with orchestration tools like Airflow or Azure Data Factory. (ref:hirist.tech)


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