Senior Data Engineer Position

4 days ago

Thāne, Maharashtra, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior Data Engineer

Job Overview

We are seeking a highly skilled and motivated Senior Data Engineer to lead the design, development, and maintenance of our modern data platform.

This role is ideal for a seasoned professional with deep technical expertise in ETL pipeline design, data modeling, and data infrastructure who excels in a fast-paced, engineering-driven environment.

Main Responsibilities:

  • Design and implement efficient, scalable ETL/ELT pipelines and data flows using best practices
  • Develop transformation models using dbt and orchestrate pipelines via Airflow for seamless integration
  • Optimize large-scale processing jobs in Apache Spark for maximum performance
  • Tune and manage relational and analytical databases (PostgreSQL, Snowflake) for optimal efficiency
  • Architect and maintain schemas using Star Schema, 3NF, and SCD2 methodologies for robust data management
  • Design and support lakehouse architectures and scalable storage solutions for reliable data retrieval
  • Implement and enforce data governance, validation, and quality control mechanisms for accurate data insights
  • Maintain DevOps standards using CI/CD, GitFlow, and containerization tools like Docker and Ansible for streamlined operations

Requirements:

  • Advanced proficiency in SQL and ETL/ELT design for effective data analysis
  • Strong experience with dbt, Airflow, and Spark for seamless pipeline execution
  • Deep understanding of data modeling techniques (Star Schema, 3NF, SCD2) for robust data structures
  • Proven ability to optimize and tune PostgreSQL and Snowflake for maximum performance
  • Familiarity with lakehouse architecture principles and tools for efficient data retrieval
  • Solid experience in data governance, validation frameworks, and pipeline monitoring for reliable insights
  • Strong grasp of GitFlow, CI/CD pipelines, and containerization (Docker/Ansible) for streamlined operations
  • Ability to work independently and collaborate across teams in a dynamic environment for successful project delivery

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