Job DescriptionJob Title: Data Engineering + Data Modelling Lead
nExperience: 3-8 Years
nLocation: Bangalore (Preferred) / Remote
nJob Responsibilities:
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- Lead end-to-end data engineering and data modeling initiatives, including requirements gathering, solution design, development, testing, deployment, andoperational support.n
- Develop scalable, high-performance data pipelines using PySpark and Apache Spark for data ingestion, transformation, integration, and loading acrossenterprise platforms.n
- Define and implement enterprise-wide conceptual, logical, and physical data models to support business, analytical, and operational requirements.n
- Design and maintain database schemas, tables, views, indexes, and data structures that support both transactional and analytical workloads.n
- Lead the development of ETL/ELT frameworks and reusable components to ensure productive and standardized data processing.n
- Implement data quality frameworks, validation rules, profiling techniques, and monitoring processes to ensure data accuracy, completeness, consistency,



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

nRequired Experience & Skills:
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- 6-8 years of experience in Data Engineering, ETL/ELT Development, and Data Modeling, with demonstrated experience leading enterprise-scale data initiatives and deliveryteams.n
- 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.n
- Proven experience in designing Conceptual, Logical, and Physical Data Models, including ER Modeling,

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