Azure Data Engineer
Job Summary
JD#1
Data Engineer with Azure Databricks (R2DS - JV Project)
Mandatory Skills
Data Warehousing Azure Data Engineer Azure Data Lake Data Bricks Pyspark Python
Job Description
- 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.
- Strong 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 organizations needs.
Required Experience:
IC
About Company
At Virtusa, we are builders, makers, and doers. Digital engineering is in our DNA. It’s at the heart of everything we do.