Qualification

- 7-10 Years of overall IT experience with minimum of 6+ years of experience in big data technologies and build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Graduate in Computer Science, Informatics, Information Systems or other quantitative field
- Data Engineering Certification from GCP/Cloudera/Horton works

- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Lead a team of Data Engineers with work load management and mentor the team on technical challenges
- Problem solver with excellent interpersonal skills with ability to make sound complex decisions in a fast-paced, technical workplace
- Support to build the infrastructure required for optimal extraction, transformation,



and loading of data from a wide variety of data sources using SQL and GCP big data technologies
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Create data engineering tools for faster data transformation and data lake loading
- Identify the challenges faced in DLL and propose & Implement solution

Skills/Tools/Techniques
- Hands on proficiency with big data tools: Hadoop, Hive, Spark & Scala
- Experience in GCP cloud services: Google cloud storage, Big query, Spanner, Cloud Pub/Sub, stackdriver & Composer
- Experience in CI/CD using GitlabEE
- Experience with data pipeline and workflow management tools: Oozie, Airflow, etc.

📌 Deputy Manager (Chennai)
🏢 Renault
📍 Chennai