Inxite-out
From company careers site
Senior Data Engineer I
- Location
- Bengaluru, KA, India
- Work mode
- On-site
- Employment type
- Full-time
About the job
Experience: 4-5
Sr. Data Engineer Data Engineer with 4+ years of experience in SQL, PySpark, ETL, ADLS, Azure Databricks, Unity Catalog, and Azure technologies. Responsibilities
• 3+ years of experience developing data pipelines using Python/PySpark, with proficiency in Spark SQL and Azure Databricks.
- 3+ years of experience developing data pipelines using Python/PySpark, with proficiency in Spark SQL and Azure Databricks.
- 4+ years of experience with Azure data engineering technologies, including ADLS, Unity Catalog, Azure Data Factory, Azure Databricks, and Azure SQL/Synapse.
- 4+ years of experience with SQL.
- Experience in data modelling, including dimensional modelling, star schema and snowflake schemas.
- Proficiency in version control tools such as Git and project management tools such as Jira.
• Excellent verbal and written communication skills.
- Excellent verbal and written communication skills.
- UG: B.Sc, BCA, or B.Tech/B.E. in any specialization.
- Reliable internet connectivity is required.
- Experience working with financial data or finance-related datasets.
- Experience with Structured Streaming and Azure Event Hubs.
- Experience with Declarative Automation Bundles and Spark Declarative Pipelines (SDP).
- Azure certifications.
From Inxite-out's careers page (Keka), checked 30 Oct 2026.
How to apply
- Select Apply on inxiteout.keka.com. It opens Inxite-out's own application form in a new tab, run on Keka.
- Fill in the form and upload your résumé there. Jobiwork never sees your application.
- Inxite-out will reply to you directly. No real employer asks you for money to apply.
Posted 30 Oct 2026 · checked 30 Oct 2026 · Report this job