Senior Data Engineer

7 days ago

Hyderabad Telangana India, Telangana SID Information Technologies Full time


We are seeking a highly skilled Data Engineer with deep expertise in SQL, DBT, and Postgres to design, build, and maintain high-performance, reliable, and scalable data infrastructure. This role focuses on enabling near real-time replication pipelines, ensuring trusted data quality, and supporting internal stakeholders with reliable database solutions.


Location: Hyderabad (Hybrid)

Experience: 5–10 Years

Availability: Immediate Joiner

Employment Type: Full-Time


Key Responsibility:

  • Design, develop, and optimize data pipelines using SQL and DBT.
  • Implement and manage Postgres-based data solutions, ensuring scalability, reliability, and performance.
  • Build near real-time replication pipelines and support continuous data integration.
  • Collaborate with internal teams to translate data requirements into efficient, maintainable solutions.
  • Automate workflows using Airflow, Rundeck, Mage, or Dagster.
  • Monitor, validate, and ensure data quality and system performance through proactive testing and optimization.


Core Technical Skills & Expertise:

SQL & DBT (Core Focus)

  • Advanced SQL development (complex queries, views, performance tuning).
  • Strong experience with DBT transformations, testing, and orchestration.
  • Hands-on with data validation tools (dbt tests, Great Expectations, etc.).

Postgres Expertise

  • Deep knowledge of Postgres internals, tuning, and replication.
  • Experience with JSON-B, Postgres extensions, and version upgrades with minimal downtime.
  • Configuring and maintaining self-hosted Postgres environments for high reliability.

Automation & Infrastructure

  • Skilled with workflow orchestration tools (Airflow, Dagster, Metaflow, etc.).
  • Familiar with CI/CD systems (Jenkins or similar).
  • Experience in Docker and containerized deployment environments.


Nice-to-Have Skills:

  • AWS ecosystem experience (EC2, RDS, Aurora).
  • Knowledge of metadata/catalog systems (e.g., OpenMetadata).
  • Familiarity with analytical databases such as ClickHouse, DuckDB, or Cloudberry.
  • Exposure to Python/Django, with the ability to map models to SQL schemas.


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