GCP Data Engineer

Duration : 6 months _Possible Extension

Skill Required : Digital : Google Data Engineering

Experience Range in Required Skills : 8 to 10 Years

Job Description : GCP Data Engineer with Pyspark

1 Development in a programming language on GCP

2 Testing & Validation

3 Debugging & troubleshooting

Essential Skills : (Must-Have)

1 Good hands on knowledge on GCP

2 Should have worked on Data Migration projects, from On-prem to Cloud

3 Should have Cloud Storage Knowledge, Big Query, Cluster Knowledge

4 Sound programming knowledge on PySpark & SQL in terms of processing large amount of semi structured & unstructured data

5 Ability to design data pipelines in end-to-end manner

6 Knowledge of Avro, Parquet format

7 Knowledge on working on Hadoop Big Data platform and ecosystem

8 Strong debugging and troubleshooting capabilities.

9 Have experience of guiding the Technical Team for attaining the delivery milestones

Good-to-Have :

1. Knowledge of Jira, Agile, Sonar, Team city & CICD.

2. Any exposure / experience for an international Banking client / multi-vendor / multi geography teams.

3. Knowledge on Dataproc, Pyspark

Details of The Role (For Candidate Briefing)

Reports to : Scrum Master / Technical Architect

Unique Selling Proposition (USP) of The Role : Chance to work in a team implementing solutions for a top investment bank in the world on latest set of tools & technologies.

Details of The Project : A project within a large portfolio for one of the leading European Investment Banks

NOTE : Flexible on the rate part