Senior Data Engineer

2 weeks ago

Hyderabad, Telangana, India SID Information Technologies Full time ₹ 8,00,000 - ₹ 24,00,000 per year

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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