Job Title: Data Engineering + Data Modelling Lead
Experience: 8 -10 Years
Location: Bangalore (Preferred) / Remote
Job Responsibilities:
• Lead end-to-end data engineering and data modeling initiatives, including requirements gathering, solution design, development, testing, deployment, andoperational support.
• Develop scalable, high-performance data pipelines using PySpark and Apache Spark for data ingestion, transformation, integration, and loading acrossenterprise platforms.
• Define and implement enterprise-wide conceptual, logical, and physical data models to support business, analytical, and operational requirements.
• Design and maintain database schemas, tables, views, indexes, and data structures that support both transactional and analytical workloads.
• Lead the development of ETL/ELT frameworks and reusable components to ensure productive and standardized data processing.
• Implement data quality frameworks, validation rules, profiling techniques, and monitoring processes to ensure data accuracy, completeness, consistency, andreliability.
• Optimize data models,



ETL pipelines, database performance, and Spark workloads to improve scalability, processing efficiency, and query performance.
• Document data models, data lineage, ETL workflows, metadata, and technical designs in a clear and comprehensive manner.
• Provide technical leadership and mentorship to development teams.

Required Experience & Skills:
• 6-8 years of experience in Data Engineering, ETL/ELT Development, and Data Modeling, with demonstrated experience leading enterprise-scale data initiatives and deliveryteams.
• Strong expertise in Databricks/Snowflake(or similar ETL tools), PySpark, Apache Spark, Spark SQL, and Python for designing, developing, and optimizing high-volume datapipelines and distributed data processing solutions.
• Proven experience in designing Conceptual, Logical, and Physical Data Models, including ER Modeling, Dimensional Modeling, Data Vault, and normalization/denorma

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