Posted on: 03/01/2026
Must-Have :
- 4+ years of relevant experience in Pyspark and Azure Databricks.
- Proficiency in integrating, transforming and consolidating data from various structured and unstructured data sources.
- Good experience in SQL or native SQL query languages.
- Strong experience in implementing Databricks notebooks using Python.
- Good experience in Azure Data Factory, ADLS, Storage Services, Synapse, Serverless architecture, Azure functions.
Good-to-Have - Strong knowledge of Data management principles.
- Good experience in SSIS/ETL transformation processes.
- Experience in Azure DevOps and CI/CD deployments
- Strong problem solving and analytical skills.
- Experience with Agile development methodologies.
Microsoft Azure certifications (such as DP203) are preferred.
SN Responsibility of / Expectations from the Role
1 This role will provide an opportunity for the candidate to work with a team of developers and designers that are responsible for developing applications on Azure Data tech stack
2 Ideal candidates need to be creative problem solvers, self-motivated and tenacious when tackling tough issues and will have to contribute to process improvements by bringing in new ideas and techniques to enhance the design and development process.
3 Collaboratively working with the project data team members on projects and tasks. Self-driven learning of technologies
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Posted in
Data Engineering
Functional Area
Big Data / Data Warehousing / ETL
Job Code
1596352