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Job description
| 5–8 years of experience designing and building data pipelines using Apache Spark, Databricks or equivalent bigdata frameworks. • Handson expertise with streaming and messaging systems such as Apache Kafka (publish subscribe architecture), Confluent Cloud, RabbitMQ or Azure Event Hub. Experience creating producers, consumers and topics and integrating them into downstream processing. • Deep understanding of relational databases and CDC. Proficiency in SQL Server, Oracle or other RDBMSs; experience capturing change events using Debezium or native CDC tools and transforming them for downstream consumption. • Proficiency in programming languages such as Python, Scala or Java and solid knowledge of SQL for data manipulation and transformation. • Cloud platform expertise. Experience with Azure or AWS services for data storage, compute and orchestration (e.g., ADLS, S3, Azure Data Factory, AWS Glue, Airflow, DBX, DLT). • Data modelling and warehousing. Knowledge of data Lakehouse architectures, Delta Lake, partitioning strategies and performance optimisation. • Version control and DevOps. Familiarity with Git and CI/CD pipelines; ability to automate deployment and manage infrastructure as code. • Strong problem solving and communication skills. Ability to work with cross functional teams and articulate complex technical concepts to nontechnical stakeholders. |
Qualification
5–8 years of experience designing and building data pipelines using
Apache Spark, Databricks or equivalent bigdata frameworks.
• Handson expertise with streaming and messaging systems such as
Apache Kafka (publish subscribe architecture), Confluent Cloud,
RabbitMQ or Azure Event Hub. Experience creating producers,
consumers and topics and integrating them into downstream
processing.
• Deep understanding of relational databases and CDC. Proficiency
in SQL Server, Oracle or other RDBMSs; experience capturing
change events using Debezium or native CDC tools and
transforming them for downstream consumption.
• Proficiency in programming languages such as Python, Scala or
Java and solid knowledge of SQL for data manipulation and
transformation.
• Cloud platform expertise. Experience with Azure or AWS services for
data storage, compute and orchestration (e.g., ADLS, S3, Azure
Data Factory, AWS Glue, Airflow, DBX, DLT).
• Data modelling and warehousing. Knowledge of data Lakehouse
architectures, Delta Lake, partitioning strategies and performance
optimisation.
• Version control and DevOps. Familiarity with Git and CI/CD
pipelines; ability to automate deployment and manage
infrastructure as code.
• Strong problem solving and communication skills. Ability to work
with cross functional teams and articulate complex technical
concepts to nontechnical stakeholders.
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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