Google Data Engineer_10th October_Virtual Interview

Tata Consultancy Services Limited; Hyderabad, Chennai, Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tata Consultancy Services invites applications for a Google Data Engineer to design and optimize data pipelines and analytics solutions. The role focuses on building scalable data workflows on Google Cloud, implementing data models, and ensuring quality and security.

The candidate will work with BigQuery, Pub/Sub, Dataflow, Airflow, and Python to translate complex business requirements into robust data solutions within an Agile environment.

Qualifications

• Strong SQL knowledge and ability to translate business needs into efficient queries.
• Experience with data modeling and data mapping.
• Hands-on experience with Google Cloud SDK and API scripting.
• Strong programming experience in Python.

Responsibilities

• Create and maintain optimal data pipeline architecture and replication of existing processes.
• Analyze and select appropriate tools for data migration and transformation.
• Assemble large, complex datasets meeting functional and non-functional requirements.
• Ensure data security through masking and encryption techniques.
• Collaborate with analytics experts to improve data system functionality.
• Automate processes and redesign infrastructure for scalability.

Skills

SQL

Python

BigQuery

Data Modeling

GCP

Tools

BigQuery

Pub/Sub

Dataflow

Composer DAGs

Airflow

Google Cloud SDK

API scripting

Job description

Job Description

Role: Google Data Engineer
Experience: 610 Years
Location: Chennai, Bengaluru, Hyderabad, Pune, Kochi, Kolkata, NCR, Delhi

Virtual Interview: 10th Oct

Required Technical Skill Set:
SQL + GCP (BigQuery, Pub/Sub, Dataflow, Composer DAGs, Airflow)

Key Requirements:

• Experience in BigQuery, Pub/Sub, Dataflow, Composer DAGs, and Airflow.
• Strong SQL knowledge with the ability to translate complex business scenarios into efficient queries.
• Experience in data modeling and data mapping.
• Hands‑on experience with Google Cloud SDK and API scripting.
• Strong programming experience in Python.
• Experience working in Agile processes and DevOps methodologies.
• Retail domain experience will be an added advantage.

Responsibilities:

• Create and maintain optimal data pipeline architecture, replicating existing processes.
• Analyze, explore, and select appropriate tools for data migration and transformation.
• Assemble large, complex datasets that meet functional and non-functional business requirements.
• Ensure data security through masking and encryption techniques.
• Work with data and analytics experts to improve data system functionality.
• Identify, design, and implement process improvements by automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.

We are not looking for immediate joiners. We are specifically seeking candidates who have a 90-day notice period.