Data Engineer - Azure Synapse Job
At a glance
Mid-level Data Engineering role at Yash Technologies. Pune.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and run Databricks pipelines with PySpark or SQL, Delta tables and scheduled workflows
- Create reusable data transformations and logic for historical backfills and incremental refreshes
- Improve pipeline speed and reliability through monitoring, recovery and automated deployments
What you bring
- You have six to ten years of experience in the listed data engineering areas
- Azure Synapse is mandatory, alongside PySpark, ADLS, SQL, CI/CD and Databricks
Who this fits
This role suits a mid-level data engineer with Azure Synapse experience who can build and operate Databricks pipelines. The listing describes flexible work arrangements.
From the employer
YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.
At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.
We are looking forward to hire Azure Synapse Professionals in the following areas :
Job description:
Experience reuquired: 6-10 years
- Azure Synapse (Mandatory), PySpark, ADLS, Data Engineering, SQL, CI/CD, Databricks
- Build and operationalize Databricks pipelines using PySpark/SQL, Delta tables and scheduled workflows.
- Implement reusable transformations, historical backfill and incremental refresh logic.
- Optimize performance and reliability, including monitoring, recovery and deployment automation.
At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.
Our Hyperlearning workplace is grounded upon four principles
- Flexible work arrangements, Free spirit, and emotional positivity
- Agile self-determination, trust, transparency, and open collaboration
- All Support needed for the realization of business goals,
- Stable employment with a great atmosphere and ethical corporate culture
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