Data Engineer
NielsenIQ (company site, opens in a new tab)3–6 yrsChennaiOn-siteDirect career pageEst. 10–18 LPA
Posted 14h ago
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Job description
Structured overview of role & requirements
About This Role
- Help unify and standardize data-ingestion methods across a global data ecosystem using Spark, Scala and Databricks.
- Configure and implement application and integration services to meet business needs; prototype features and integrations aligned with solution design.
- Apply source- and test-driven practices, and troubleshoot production or development issues through root-cause analysis.
Minimum Requirements
- Work Experience Required: 3–6 years as a Big Data Engineer working with enterprise frameworks such as Spark, Scala, Databricks or PySpark; the JD separately states Spark, Scala and Databricks expertise is mandatory.
- Mandatory expertise: Spark, Scala and Databricks; experience developing unit and integration tests.
- Working SQL skills, CI/CD knowledge (including GitHub Actions), version control—preferably GitHub—and basic Linux/Unix commands and shell scripting.
- Ability to work in an enterprise Agile/SCRUM and global-team environment; strong troubleshooting and English communication skills.
Ideal Candidate Profile
- Has hands-on experience standardizing or building data-ingestion services with Spark-based technologies in an enterprise environment.
- Can connect user and business needs to global solution design, while delivering integrations and prototypes through disciplined testing and CI/CD practices.
- Additional relevant signals include PySpark, Azure, AI readiness, DevSecOps exposure, Java, and collaboration tools such as Jira or Confluence.