Senior Data Platform Specialist

2 weeks ago

Ellore, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Are you looking for a challenging and dynamic role in data engineering? Do you have a passion for designing, building, and maintaining modern data platforms? We are seeking a highly skilled Senior Data Engineer to join our team. This is an opportunity to work across the full data stack, from ingestion and transformation to orchestration and delivery, and play a key role in scaling our analytics and reporting capabilities.

About the Role
  • We are looking for someone with deep technical expertise in ETL pipeline design, data modeling, and data infrastructure who thrives in a fast-paced, engineering-driven environment.
Key Responsibilities
  • Design and implement efficient, scalable ETL/ELT pipelines and data flows
  • Develop transformation models using dbt and orchestrate pipelines via Airflow
  • Optimize large-scale processing jobs in Apache Spark
  • Tune and manage relational and analytical databases (PostgreSQL, Snowflake)
  • Architect and maintain schemas using Star Schema, 3NF, and SCD2 methodologies
  • Design and support lakehouse architectures and scalable storage solutions
  • Implement and enforce data governance, validation, and quality control mechanisms
  • Maintain DevOps standards using CI/CD, GitFlow, and containerization tools like Docker and Ansible
Requirements
  • Advanced proficiency in SQL and ETL/ELT design
  • Strong experience with dbt, Airflow, and Spark
  • Deep understanding of data modeling techniques (Star Schema, 3NF, SCD2)
  • Proven ability to optimize and tune PostgreSQL and Snowflake for performance
  • Familiarity with lakehouse architecture principles and tools
  • Solid experience in data governance, validation frameworks, and pipeline monitoring
  • Strong grasp of GitFlow, CI/CD pipelines, and containerization (Docker/Ansible)
  • Ability to work independently and collaborate across teams in a dynamic environment
Preferred Qualifications
  • Hands-on experience with cloud platforms (AWS, GCP, Azure)
  • Familiarity with IaC tools and DevOps best practices
  • Experience working in regulated or enterprise environments with strict data governance policies

This is an opportunity to shape and scale a modern data platform in a collaborative, engineering-led environment where your voice matters.

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