Job Description :

We are seeking a highly skilled and experienced Data Engineer to join our growing data team. In this role, you will lead the design and implementation of scalable, high-performance data pipelines using Snowflake, dbt, and Matillion Data Productivity Cloud, define architectural best practices, and drive data transformation at scale. You will work closely with clients to translate business needs into robust data solutions and play a key role in mentoring junior engineers, enforcing standards, and delivering production-grade data platforms.

Key Responsibilities :
- Architect and implement modular, test-driven ELT pipelines using dbt and Matillion Data Productivity Cloud on Snowflake.
- Design layered data models (e.g., staging, intermediate, mart layers / medallion architecture) aligned with dbt and Matillion best practices.
- Lead ingestion of structured and semi-structured data from APIs, flat files, cloud storage (Azure Data Lake, AWS S3), and databases into Snowflake using Matillions native connectors and custom components where required.




- Optimize Snowflake for performance and cost : warehouse sizing, clustering, materializations, query profiling, and credit monitoring.
- Apply advanced dbt capabilities including macros, packages, custom tests, sources, exposures, and documentation using dbt docs.
- Build reusable Matillion pipelines, shared jobs, and orchestration flows on the Data Productivity Cloud, integrating them with dbt transformations for end-to-end data delivery.
- Orchestrate workflows using dbt Cloud, Matillion Data Productivity Cloud, Airflow, or Azure Data Factory, integrated with CI/CD pipelines.
- Define and enforce data governance and compliance practices using Snowflake RBAC, secure data sharing, and encryption strategies.
- Collaborate with analysts, data scientists, architects, and business stakeholders to deliver validated, business-ready data assets.
- Mentor junior engineers, lead architectural/code reviews, and help est

📌 Azure Data Engineer (Hyderabad)
🏢 HyrEzy Talent Solutions
📍 Hyderabad