Job Description

Qualification
- 3-5 Years of overall IT experience as a Data Engineer with hands on expertise in building data pipeline, data transformation and metadata creation involving large complex and disconnected data sets.
- Graduate in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
- Data Engineering Certification from GCP.

Job Description
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Hands on in manipulating, processing and extracting value from large disconnected datasets.
- Experience in building and optimizing big data data pipelines, architectures and data sets.
- Advanced working SQL knowledge and experience working with relational databases,



query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience supporting and working with cross-functional teams in a energetic environment.

Skills/Tools/Techniques
- Hands on proficiency with big data tools: Hadoop, Hive, GCP BigQuery, GCP DataProc, Python/Scala
- Nice to have experience in GCP cloud services: Google cloud storage, Big query, Spanner, Cloud Pub/Sub Composer
- Experience in CI/CD using Jenkins/Gitlab
- Nice to have experience with stream-processing systems: Dataflow etc.
- Experience with data pipeline and workflow management tools: Airflow, etc.
- Strong analytic skills related to working with unstructured datasets.

📌 Senior Data Engineer (Chennai)
🏢 Renault
📍 Chennai