? We’re Hiring | Senior AWS Data Engineer

? Role: Sr. AWS Data Engineer

? Experience: 7–12 Years

? Location: Bangalore / Hyderabad

⏳ Notice Period: Immediate to 90 Days

? Key Skills

Golang | Python | Snowflake | SQL | PySpark | AWS | Data Engineering

?

We are looking for an experienced Senior AWS Data Engineer with strong hands-on expertise in Golang, Python, Snowflake, SQL, and PySpark. The ideal candidate will have experience building scalable data pipelines and cloud-based data solutions on AWS while working with large and complex datasets.

? Key Responsibilities

- Design, develop, and maintain scalable data pipelines and data processing solutions on AWS.
- Develop data engineering components and services using Golang and Python.
- Build and optimize data solutions using Snowflake.
- Write and optimize complex SQL queries for large-scale data processing.
- Develop distributed data processing workflows using PySpark.
- Build robust ETL/ELT pipelines to ingest, transform, and process structured and unstructured data.
- Work with relevant AWS data and storage services to build cloud-based data platforms.
- Optimize pipelines for performance, scalability, reliability, and cost efficiency.




- Troubleshoot production issues and ensure data quality and pipeline reliability.
- Collaborate with architects, developers, analysts, and business stakeholders.
- Participate in code reviews and follow engineering and data governance best practices.

✅ Required Skills
- 7–12 years of experience in Data Engineering or related roles.
- Strong hands-on development experience in Golang and Python.
- Solid experience with Snowflake and cloud data warehousing.
- Excellent knowledge of SQL and query optimization.
- Hands-on experience with PySpark and large-scale data processing.
- Strong experience working with AWS cloud environments.
- Experience developing ETL/ELT pipelines and data integration solutions.
- Good understanding of data warehousing, data modeling, and distributed processing.
- Strong debugging, analytical, and problem-solving abilities.

? Good to Have
- Experience with AWS services such as S3, Glue, Lambda, EMR, Redshift, and CloudWatch.
- Exposure to CI/CD, Git, Docker, Terraform, or other Infrastructure as Code tools.
- Experience with data quality, monitoring, and performance optimization.
- Strong communication and stakeholder-management skills.

📌 Senior AWS Data Engineer (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad