Designation : Assistant Manager - Data Engineering
Level : L3
Location : Chennai
Experience : 5 to 8 Years
Job Role :
Build and maintain scalable data pipelines and data warehouse solutions using Python, PySpark, SQL, Databricks, and Airflow.
Drive data quality, workflow orchestration, performance optimization, and Linux-based data engineering, while collaborating with cross-functional teams to deliver reliable analytics solutions.
Responsibilities :
Data Pipeline Development:
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Design, develop, and maintain scalable data pipelines using Python, PySpark, and SQL to ingest, process, and transform data from various sources.
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Implement data quality checks and monitoring to ensure the reliability and integrity of data pipelines.
Data Warehouse Management:
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Build and optimize data warehouse solutions for efficient storage and retrieval of large volumes of structured and unstructured data.
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Collaborate with cross-functional teams to design and implement data models for analytical purposes.
Databricks Expertise:
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Utilize Databricks platform for data engineering tasks, including data ingestion, ETL processing, and data analysis.
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Optimize Databricks jobs and clusters for performance and cost efficiency.
Airflow Workflow Orchestration:
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Configure and manage Airflow workflows to automate data pipeline orchestration and scheduling.
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Implement error handling and monitoring within Airflow DAGs to ensure reliable execution of data workflows.
Linux Administration:
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Manage Linux-based servers and environments for data engineering tasks, ensuring security, reliability, and performance.
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Troubleshoot and resolve issues related to Linux infrastructure and server configurations.
Collaboration and Documentation:
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Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
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Document data engineering processes, workflows, and best practices for knowledge sharing and future reference.
Required skills :
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Bachelor's degree in Computer Science, Engineering, or related field.
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Proven experience as a Data Engineer or similar role, with a minimum of 6 to 8 years of relevant experience.
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Proficiency in Python, PySpark, SQL, and Databricks.
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Good to have familiarity with Claude Code or Github Copilot or Codex ,GEN AI - Databricks Genie, LLM , Prompt engineering
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Familiarity with Airflow for workflow orchestration.
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Experience with Linux administration and shell scripting.
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Strong understanding of data modelling, ETL processes, and data warehousing concepts.
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Excellent problem-solving skills and attention to detail.
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Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Job Snapshot Updated Date 23-09-2026 Job ID J_5964
Location
Chennai, Tamil Nadu, India Employee Type Permanent
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