Designation : Data Engineer

Experience : 4- 6 Years

Location: Hinjewadi, Pune (Onsite)

Responsibilities :

- Design, build, and maintain robust data pipelines (batch and near real-time) from multiple sources to data lake/warehouse.

- Develop transformations using SQL and Python (Spark/Databricks if applicable) with reusable, modular code.

- Implement orchestration and scheduling (e.g., Airflow/ADF or equivalent) including retries, alerting, and monitoring.

- Ensure data quality and reliability via validation checks, reconciliation, audit fields, and documentation.

- Perform data modelling for analytics (dimensional/normalized as needed) and enable downstream BI/reporting/ML consumption.

- Optimize performance and cost : partitioning, incremental loads, query tuning, and efficient storage formats.

- Collaborate with cross-functional teams and clients in a service-delivery setup: requirement understanding, estimations, status updates, and production support within SLAs.

- Should have a strong understanding of Power BI or Tableau, Azure Synapse, and similar tools.

Company Profile :

Dynamisch is Information Technology Solutions and Service Company focused on providing end-to-end outsourced product engineering services.

Our areas of expertise include: Software product development, Mobile application development, Software Migration, and Re-engineering, Cloud enablement and QA & testing services.