Senior Data Engineer I

• *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.