G
Bengaluru, KA, India
PythonSQLAIFinance
I
Salary not disclosed
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Role overview
Job description
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. 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. Qualifications Excellent verbal and written communication skills. UG: B.Sc, BCA, or B.Tech/B.E. in any specialization. Reliable internet connectivity is required. Good to Have 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.
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About this listing
- Source: InXiteOut's official careers site · still listed there on 9 Nov 2026
- Posted 30 Oct 2026
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What they are looking for
Skills & requirements
Qualification
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; 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
Department · Data Engineering
Hiring company
InXiteOut
Technology
Transform your business with InXiteOut’s cutting-edge AI and data analytics solutions. We help you turn data into actionable insights that drive growth.
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