Tata Consultancy Services
AWS Data Engineer (Golang, Python & Snowflake)
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
7 September 2026
What they need
Hiring: Senior AWS Data Engineer (Golang, Python & Snowflake)
📍 Location: Bangalore / Hyderabad
💼 Experience: 7-12 Years
⏳ Notice Period: Immediate to 30 Days
We are looking for an experienced Senior AWS Data Engineer with strong expertise in Golang, Python, Snowflake, and AWS Cloud Technologies . The ideal candidate will be responsible for designing, building, and optimizing scalable data platforms, data pipelines, and cloud-based analytics solutions while ensuring reliability, performance, and security.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL/ELT frameworks.
- Build and optimize cloud-native data solutions on AWS.
- Develop high-performance data processing applications using Golang and Python.
- Implement and manage enterprise data warehousing solutions using Snowflake.
- Integrate data from multiple sources and ensure data quality, consistency, and governance.
- Collaborate with business, analytics, and engineering teams to deliver data-driven solutions.
- Monitor, troubleshoot, and optimize data platform performance.
- Participate in architecture discussions and contribute to best practices for data engineering and cloud adoption.
Required Skills
- Strong experience in AWS Cloud Services
- Hands-on expertise in Snowflake
- Proficiency in Python
- Strong development experience in Golang
- Experience building ETL/ELT Pipelines
- Knowledge of Data Warehousing Concepts
- Experience with SQL and Performance Optimization
- Exposure to AWS Services such as S3, Lambda, Glue, EMR, Redshift, ECS/EKS
- Experience with CI/CD Pipelines and DevOps Practices
- Strong analytical and problem-solving skills
Good to Have
- Apache Spark or PySpark
- Kafka or Streaming Technologies
- Terraform or Infrastructure as Code (IaC)
- Containerization technologies such as Docker and Kubernetes
- Data Modeling and Data Governance experience
Preferred Candidate Profile
- 7+ years of experience in Data Engineering
- Strong cloud and data platform development background
- Experience working in large-scale enterprise environments
- Excellent communication and stakeholder management skills
- Exposure to Banking, Financial Services, or Capital Markets domains is an advantage
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