Data Engineer PowerApps and Databricks

WNS Holdings

3 - 5 years

9 - 11 Lacs

bengaluru

Posted:1 week ago| Platform:

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Skills Required

power automate powerapps pyspark data bricks python

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and data-driven decision-making.
The candidate should have strong experience with SQL, Python, PowerApps, and Databricks/PySpark .Key Responsibilities Prepare data using SQL Server, Python, and PySpark tools. Create apps using PowerApps to integrate within Power BI.
Design, develop, and maintain data pipelines to ingest, process, and transform structured and unstructured data.
Collaborate with data analysts, data scientists, and business teams to understand data requirements and deliver scalable data solutions. Ensure data quality, governance, and security across the data platform.
Optimize data storage, processing, and retrieval for performance and cost efficiency. Develop and maintain documentation for data pipelines, processes, and schemas.
Required Skills and Experience45+ years as a Data Engineer with SQL, Python, PowerApps, Databricks/ PySpark, and advanced analytics experience.
Bachelors degree in Computer Science, Engineering, Information Systems, or a related field. Strong proficiency in SQL and experience working with relational and NoSQL databases. Hands-on experience with ETL/ELT tools such as Informatica, Azure Data Factory, SSIS, and Dataflow.
Experience with Python and Databricks for data processing. Familiarity with cloud services such as Azure. of CI/CD, version control (Git), and DevOps practices.
Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
Soft Skills Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
Ability to work in a fast-paced environment and handle multiple priorities. Detail-oriented and committed to data accuracy.

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