Role & responsibilities

Must-Have
Google Data Engineer (Overall 5+ Years with 3 years relevant hands-on experience)
Experience working in GCP based Big Data deployments (Batch/Realtime) leveraging components like GCP Big Query, air flow, Google Cloud Storage, Data fusion, Data flow, Data Proc etc.
Valuable skills in Python Language, PYSPARK
Valuable Skills in Linux
Exposure to creation of CI-CD pipelines for promoting big data release deployments and designing log monitoring features.
Excellent written and verbal communication skills in English
The following skills are positive-to-have, but not a requirement:

Responsibility of / Expectations from the Role

1

Data modelling/Data warehouse modernization/Cloud based data lakes

2





Create and maintain optimal data pipeline architecture

3

Define technical roadmap for data platform modernization and analysis and assessment of the existing data platforms

4

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

5

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Google cloud big data’ technologies.

📌 Walk In Gcp Data Engineer H Chennai (India)
🏢 Tata Consultancy Services
📍 India