Senior Data Engineer - Spark and Scala

As a Senior Data Engineer, you’ll be part of a team of smart, highly skilled technologists who are passionate about learning and prototyping cutting-edge technologies. Ingestion Services is working on unifying and standardizing several varied ingestion methodologies and convergence initiatives with latest Big Data services on Spark, Scala, Databricks, PySpark and leverage Git Hub to support things like CI/CD and integrations and continuing to adopt the best in class cloud-native, cloud-agnostic technologies.

Our team is co-located and agile, with central technology hubs in Chennai and Pune. Expertise in Spark, Scala, Databricks are mandatory. Skills in PySpark, Git Hub, AI, Azure are welcome additions. AI readiness and Dev Sec Ops  exposure are key additional facets to possess and exhibit.

Responsibilities:

- Understanding user needs and how they fit into the overall, global solution design
- Configuring & Implementing Application and Integration Service to support Business needs
- Prototyping new features and integrations aligned to business strategy by introducing innovation through technology
- Following source & test-driven development best practices
- Troubleshooting and identifying root cause analysis while resolving the issues

Qualifications

- 6-10 years of experience as a Big Data engineer who works on enterprise standard frameworks like Spark, Scala, Databricks, PySpark.
- Development experience in unit and integration test cases
- Intermediate level of Database (SQL) skills to develop SQL queries, functions
- Good Understanding on CI/CD Pipeline i.e. Git Hub Actions
- Strong knowledge of version control tools, preferably Git Hub
- Basic Knowledge on Linux/Unix environment (basic commands, shell scripting, etc.)
- Demonstrated ability to thrive in an enterprise Agile/SCRUM environment
- Demonstrated ability to work as part of a Global Team
- Strong troubleshooting and problem-solving skills and excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business