3 days ago
Chennai, IndiaMid Level / Senior
Responsibilities
- Understand user needs and how they fit into the overall global solution design.
- Configure and implement application and integration services to support business needs.
- Prototype new features and integrations aligned with business strategy.
- Develop and maintain ingestion services using Spark, Scala, Databricks, and PySpark.
- Apply source- and test-driven development practices, including unit and integration testing.
- Troubleshoot issues, identify root causes, and implement resolutions.
- Collaborate across global, cross-functional technology and business teams.
Requirements
- 3–6 years of experience as a big data engineer working with enterprise frameworks such as Spark, Scala, Databricks, and PySpark.
- Experience developing unit and integration test cases.
- Intermediate SQL and database skills, including queries and functions.
- Working knowledge of CI/CD pipelines and GitHub Actions.
- Strong knowledge of version control tools, preferably GitHub.
- Basic knowledge of Linux/Unix environments, commands, and shell scripting.
- Ability to work in an enterprise Agile/ScrUM environment and as part of a global team.
- Strong troubleshooting, problem-solving, communication, and cross-functional collaboration skills.
- A bachelor’s degree in computer science, computer engineering, or a related field is preferred.
- Experience with Jira, Confluence, Java, testing tools, and test automation is preferred.
- Ability to influence and lead, manage ambiguity, learn continuously, and respond positively to change is preferred.
Benefits
- Flexible working environment.
- Volunteer time off.
- LinkedIn Learning and career development opportunities.
- Employee Assistance Program.
- Wellness plans for employees and families.
- Financial wellness tools.
- Peer-to-peer recognition platforms.
Tech Stack
Categories
Data Engineering