JD#1 Data Engineer with Azure Databricks (R2DS - JV Project) Mandatory Skills Data Warehousing, Azure Data Engineer, Azure Data Lake, Data Bricks, Pyspark, Python - Proficiency in Databricks and experience with Spark for big data processing.

- Solid programming skills in Python or Scala for developing data pipelines.
- Knowledge of SQL and experience with relational databases and data warehousing concepts.
- Familiarity with cloud platforms - Azure, particularly in relation to data storage and processing.
- Understanding of data modeling, ETL processes, and data integration methodologies.
- Excellent problem-solving skills and attention to detail.
- Robust communication and collaboration abilities to work effectively in a team-oriented environment.

Skill Area

Tools & Technologies Data Engineering Databricks, Apache Spark, Delta Lake Programming Python, SQL,



PySpark Cloud Platforms Azure Education Qualificaiton B Tech Roles & Responsibilities - Develop and implement scalable data processing solutions using Azure Databricks, including ETL processes that efficiently handle large data volumes.

- Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs and objectives.
- Optimize data storage and retrieval processes to enhance performance and reduce latency.
- Ensure data quality and integrity by implementing best practices for data governance and validation.
- Stay updated with the latest trends and technologies in data engineering, and evaluate their applicability to the organization's needs.

📌 Azure Data Engineer (Bengaluru)
🏢 Virtusa
📍 Bengaluru