Senior Data Engineer

4 weeks ago

New Delhi, 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 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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