? 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
? Job Description
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.
• Strong experience with Snowflake and cloud data warehousing.
• Excellent knowledge of SQL and query optimization.
• Hands-on experience with PySpark and large-scale data processing.
• Solid experience working with AWS cloud environments.
• Experience developing ETL/ELT pipelines and data integration solutions.
• Good understanding of data warehousing, data modeling, and di