Senior Data Engineer

4 weeks ago

Hyderabad, India 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 YearsAvailability: Immediate JoinerEmployment Type: Full-TimeKey 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 ExpertiseDeep 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 & InfrastructureSkilled 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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