Data Engineer – Python DBT SQL IRC291765 — Data Engineer – Python DBT SQL – Hyderabad
Design, optimize, and scale core data infrastructure for a global engineering firm. Bridge raw data sources to high‑performance analytics, owning reliability, scalability, and quality of the data warehouse.
What You’ll Do
Build scalable ELT/ETL pipelines with Python and SQL.
Own and evolve the dbt model environment and macro library.
Optimize warehouse schemas, partitioning, and clustering for cost‑effective queries.
Implement data testing, observability, and monitoring frameworks.
Orchestrate dependent data workflows using Airflow or Dagster.
Collaborate with analytics, data science, and product teams on model design.
Document architecture decisions and data lineage for technical and business stakeholders.
What You Need
6+ years data or backend engineering experience.
Expert SQL skills; performance tuning and execution‑plan analysis.
Production‑scale dbt experience: packages, macros, documentation.
Strong Python development: reusable modules, API integration, unit testing.
Cloud‑native expertise (AWS, GCP or Azure) and Docker containers.
Experience with modern orchestrators (Airflow/Dagster) and data‑quality tools (Great Expectations).
The Opportunity
Work on high‑tech, media, healthcare, retail and telecom projects for global brands, within a collaborative, flexible environment that values work‑life balance and continuous learning.