Role & Responsibilities
Design, develop, and maintain scalable ETL/ELT data pipelines using Snowflake.
Build and optimize data warehouse solutions on Microsoft Azure.
Develop and maintain data processing scripts using Python and advanced SQL.
Monitor, troubleshoot, and optimize data pipeline performance and query execution.
Ensure data quality, integrity, and consistency through validation and governance practices.
Collaborate with Data Analysts, Data Scientists, and business stakeholders to deliver data-driven solutions.
Implement workflow orchestration using Apache Airflow or dbt.
Maintain technical documentation, participate in code reviews, and support production data pipelines.

Preferred Candidate Profile
35 years of experience in Data Engineering or ETL Development.




Solid hands-on experience with Snowflake, SQL, Python, and Microsoft Azure.
Valuable understanding of Data Warehousing, Dimensional Modeling, and Data Vault concepts.
Experience with workflow orchestration tools such as Apache Airflow or dbt.
Proficiency in Git and cooperative development practices.
Exposure to Azure Databricks, Apache Spark, and CI/CD pipelines is an added advantage.
Strong analytical, problem-solving, and communication skills.
Ability to work independently and collaboratively in an Agile environment with a proactive and ownership-driven mindset.

📌 Data Engineer Bengaluru (India)
🏢 Sunovaa Tech
📍 India