AWS Data Engineer (Golang, Python & Snowflake)
Summary
Senior AWS Data Engineer at Tata Consultancy Services designing, building, and optimizing scalable data pipelines, ETL/ELT frameworks, and Snowflake data warehouses on AWS, with application development in Golang and Python; open to candidates with 7-12 years' experience in Bangalore or Hyderabad.
Job Description
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
Skills
- Analytics
- AWS
- CI/CD
- Cloud
- Cloud Native
- Containerization
- Data Engineering
- Data Governance
- Data Modeling
- Data Pipelines
- Data Quality
- Data Warehousing
- DevOps
- Docker
- ECS
- EKS
- ELT
- ETL
- Go
- Infrastructure as Code
- Kafka
- Kubernetes
- Lambda
- PySpark
- Python
- Redshift
- Snowflake
- Spark
- SQL
- Stakeholder Management
- Terraform