Master Data Architect

2 days ago

Mangalore, Karnataka, India beBeeDataEngineer Full time ₹ 1,00,00,000 - ₹ 1,20,00,000
Senior Data Engineer Role

We are seeking a highly skilled individual to join our team as a Senior Data Engineer. The successful candidate will be responsible for designing, building, and maintaining our modern data platform.

The role will involve working across the full data stack—from ingestion and transformation to orchestration and delivery—playing a key role in scaling our analytics and reporting capabilities.

  • Data Engineering Responsibilities:
  • Create efficient, scalable ETL/ELT pipelines and data flows using various tools and technologies.
  • 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.

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