Senior Data Engineer I

InXiteOut; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Inxiteout in Bengaluru is looking for a Data Engineer with 4+ years of experience in SQL, PySpark, ETL, and Azure technologies. You will build scalable data pipelines and collaborate with analytics and product teams to enable data-driven decisions.

You should be proficient with Azure Databricks, ADLS, Unity Catalog, and SQL/Synapse, and comfortable with data modelling (star/snowflake). Familiarity with Git and Jira helps. Strong communication and reliable connectivity are required.

Qualifications

• Bachelor’s degree in a relevant field (B.Sc, BCA, or B.Tech/B.E.).
• Excellent verbal and written communication skills.
• Reliable internet connectivity is required.

Responsibilities

• Develop data pipelines using Python/PySpark with Spark SQL and Azure Databricks.
• Work with Azure data engineering technologies including ADLS, Unity Catalog, Azure Data Factory, Azure Databricks, and Azure SQL/Synapse.
• Maintain SQL proficiency and data modelling (dimensional modelling, star and snowflake schemas).
• Use Git and Jira for version control and project management.

Skills

SQL proficiency

PySpark

Data modelling

Git

Jira

Education

B.Sc / BCA / B.Tech / B.E. (UG)

Tools

Azure Databricks

ADLS

Unity Catalog

Azure Data Factory

Azure SQL/Synapse

Structured Streaming

Job description

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.