Job Summary – Senior Data Engineer

- Monitor and manage daily ETL pipeline operations for data ingestion and transformation.

- Troubleshoot and resolve failures/errors in data pipelines; investigate root causes.

- Escalate unresolved pipeline issues, providing initial analysis and timely updates.

- Serve as a liaison between the Data Engineering team and Business units, communicating issues and resolution timelines.

- Develop a deep understanding of the team’s data platforms, architectures, and best practices.

- Conduct data profiling to understand data domains, dependencies, and lineage.

- Collaborate with external business teams (sales, marketing, finance) for data integration needs.

- Participate in Agile ceremonies such as daily stand-ups, sprint reviews, and planning sessions.





- Utilize workflow orchestration tools (e.g., Airflow) and RDBMS (MSSQL, Postgres).

- Write, test, and optimize SQL queries; troubleshoot API-related issues.

- Work with BI tools (Power BI, Qlik) and contribute to enterprise-scale data warehouse projects.

- Preferably experienced with CI/CD pipelines (Azure DevOps), Cloud Data Warehousing (Snowflake), Azure Platform, and data modeling concepts (Data Vault).

- Operate in a remote role, working EST hours (4AM–12PM EST), supporting pharma development and manufacturing clients.

Let me know if you need a shorter version or a more tailored summary!

📌 SENIOR DATA ENGINEER (India)
🏢 Stacknexus
📍 India