TCS Scheduled Face-to-Face Drive | Chennai
GCP Data Engineer
Company: Tata Consultancy Services (TCS)
Experience: 6 - 12 Years
Interview Mode: In-Person (Face-to-Face)
Interview Date: Saturday, 9th May
Location:
Taj Wellington Mews, Chennai
TRIL Infopark Limited, Rajiv Gandhi IT Expy,
Near Ramanujan Intellion Park, Tharamani,
Chennai 600113
Job Summary
We are seeking a skilled GCP Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions on Google Cloud Platform. The ideal candidate will have strong experience working with large datasets, cloud-native data services, and modern data engineering practices.
Key Responsibilities
- Design, develop, and maintain data pipelines on GCP
- Build and optimize ETL/ELT workflows using Cloud Dataflow, Dataproc, or Cloud Composer
- Develop solutions using BigQuery for data warehousing and analytics
- Ingest data from multiple sources using Pub/Sub, Cloud Storage, and APIs
- Ensure data quality, reliability, and performance
- Implement data security, governance, and access controls
- Collaborate with data scientists, analysts, and product teams
- Monitor and troubleshoot pipeline failures and performance issues
- Follow Agile development and CI/CD best practices
Required Skills & Qualifications
GCP & Data Engineering
- Strong hands-on experience with Google Cloud Platform
- Expertise in BigQuery
- Experience with Cloud Dataflow (Apache Beam) and/or Dataproc (Spark)
- Knowledge of Pub/Sub, Cloud Storage, and Cloud Composer (Airflow)
- Strong understanding of data modeling, schema design, and partitioning
Programming & Tools
- Proficiency in Python and/or SQL
- Experience with Spark, PySpark, or Scala (preferred)
- Hands-on experience with ETL/ELT tools
- Experience with Git and CI/CD pipelines
Databases
- Experience with SQL and NoSQL databases
- Knowledge of data lakes and data warehouses
Good to Have
- GCP certifications (e.g., Professional Data Engineer)
- Experience with Kubernetes and Docker
- Knowledge of ML pipelines and feature engineering
- Exposure to real-time/streaming data processing
- Experience in cost optimization on GCP
Soft Skills
- Strong analytical and problem-solving skills
- Good communication and stakeholder management abilities
- Ability to work independently and in a team environment
- Proactive mindset and attention to detail
6-11 years96
Get Personalized Job Matches with 1 Click
Job Description
Download ResumeTCS Scheduled Face-to-Face Drive | Chennai
GCP Data Engineer
Company: Tata Consultancy Services (TCS)
Experience: 6 - 12 Years
Interview Mode: In-Person (Face-to-Face)
Interview Date: Saturday, 9th May
Location:
Taj Wellington Mews, Chennai
TRIL Infopark Limited, Rajiv Gandhi IT Expy,
Near Ramanujan Intellion Park, Tharamani,
Chennai 600113
Job Summary
We are seeking a skilled GCP Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions on Google Cloud Platform. The ideal candidate will have strong experience working with large datasets, cloud-native data services, and modern data engineering practices.
Key Responsibilities
- Design, develop, and maintain data pipelines on GCP
- Build and optimize ETL/ELT workflows using Cloud Dataflow, Dataproc, or Cloud Composer
- Develop solutions using BigQuery for data warehousing and analytics
- Ingest data from multiple sources using Pub/Sub, Cloud Storage, and APIs
- Ensure data quality, reliability, and performance
- Implement data security, governance, and access controls
- Collaborate with data scientists, analysts, and product teams
- Monitor and troubleshoot pipeline failures and performance issues
- Follow Agile development and CI/CD best practices
Required Skills & Qualifications
GCP & Data Engineering
- Strong hands-on experience with Google Cloud Platform
- Expertise in BigQuery
- Experience with Cloud Dataflow (Apache Beam) and/or Dataproc (Spark)
- Knowledge of Pub/Sub, Cloud Storage, and Cloud Composer (Airflow)
- Strong understanding of data modeling, schema design, and partitioning
Programming & Tools
- Proficiency in Python and/or SQL
- Experience with Spark, PySpark, or Scala (preferred)
- Hands-on experience with ETL/ELT tools
- Experience with Git and CI/CD pipelines
Databases
- Experience with SQL and NoSQL databases
- Knowledge of data lakes and data warehouses
Good to Have
- GCP certifications (e.g., Professional Data Engineer)
- Experience with Kubernetes and Docker
- Knowledge of ML pipelines and feature engineering
- Exposure to real-time/streaming data processing
- Experience in cost optimization on GCP
Soft Skills
- Strong analytical and problem-solving skills
- Good communication and stakeholder management abilities
- Ability to work independently and in a team environment
- Proactive mindset and attention to detail