Role: Azure Databricks Data Engineer
Design/Development : You will design and support the business s database and table schemas for new and existing data sources for the Lakehouse. Create and support the ETL in order to facilitate the movement of data into the Lakehouse.
Through your work you will ensure
The data platform is scalable for large amounts of data ingestion and processing without service degradation.
Processes are built for monitoring and optimizing performance
Implement Chaos Engineering practices and measures that allow the end-to-end infrastructure to function as expected, even if individual components fail
Collaboration : You will be collaborative - working closely with Product Owners, application engineers, and other data consumers within the business in an attempt to gather and deliver high quality data for business-cases. Work closely with other disciplines/departments and teams across the business in coming up with simple, functional, and elegant solutions that balance data needs across the business
Analytics : You will play an analytical role in quickly and thoroughly analyzing business requirements and subsequently translating the emanating results into good technical data designs. Document the data solutions, develop, and maintain technical specification documentation for all reports and processes.
Skills you MUST have:
6+ years proven ability of professional Data Development experience
3+ years proven ability of developing with Azure Databricks or Hadoop/HDFS
3+ years of experience with PySpark/Spark
3+ years of experience with SQL
3+ years of experience developing with Python
Full understanding of ETL concepts and Data Warehousing concepts
Data modeling and query optimization skills, implementation experience of Data Vault, Star Schema and Medallion architecture
Experience with CI/CD
Experience with version control software
Strong understanding of Agile Principles (Scrum)
Experience with Azure
Experience with Databricks Delta Tables, Delta Lake, Delta Live Tables
Bonus Points For Experience In The Following
Proficient with Relational Data Modeling
Experience with Python Library Development
Experience with Structured Streaming (Spark or otherwise)
Experience with Kafka and/or Azure Event Hub
Experience with GitHub SaaS / GitHub Actions
Experience with Snowflake/ Exposure to BI Tooling (Tableau, Power BI, Cognos, etc.)
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 36,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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