Data Engineer
We are seeking a Azure Databricks Engineer with expertise in Apache Kafka to design and implement real-time and batch data processing solutions on Azure Cloud. The ideal candidate will have 8+ years of experience in big data engineering, streaming pipelines, and cloud-based data warehousing to support enterprise-scale analytics.
Key Responsibilities:
Develop and optimize big data pipelines using Azure Databricks (Spark, Scala, PySpark)
Design real-time streaming solutions with Confluent/Apache Kafka and Kafla Streams
Build and manage ETL/ELT workflows using ADF, Delta Lake, and Databricks
Ensure performance, cost-efficiency, and data security best practices
Implement CI/CD pipelines for data engineering workflows using Azure DevOps, Terraform
Expertise in Azure Databricks, Apache Spark, and PySpark/Scala
Hands-on experience with Apache Kafka (Streams, Confluent Kafka, Kafka Connect)
Strong knowledge of Delta Lake, and Medallion Architecture Proficiency in Azure Data Factory (ADF), Azure Data Lake, and Azure Synapse
Experience with CI/CD, Terraform, and data security best practices
Mandatory Skill
Pega Platform
Pega CDH
Secondary Skill
Agile
Adobe Experience Platform
Adobe Target
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 27,000 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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