Job highlights

- Experience with Declarative Automation Bundles and Spark Declarative Pipelines (SDP). . Azure certifications. .

Disclaimer: This job posting has been aggregated from external source

- Reliable internet connectivity is required. . Valuable to Have .

- Data Engineer with 4+ years of experience in SQL,PySpark,ETL,ADLS,Azure Databricks,Unity Catalog,and Azure technologies

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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Data Engineer I (Bengaluru)
🏢 Inxiteout
📍 Bengaluru