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Senior Data Engineer (SQL / DBT / Postgres)

10 years

0 Lacs

hyderabad telangana india

Posted:2 weeks ago| Platform: Linkedin logo

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Skills Required

data sql design replication database scalability reliability support automate airflow testing development tuning json automation workflow orchestration jenkins deployment aws python

Work Mode

On-site

Job Type

Full Time

Job Description

Senior DBT Data Engineer


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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