AWS Data Engineering_TVM/Kochi

Role Description Job Title: Data Services Engineer – AWS & Snowflake Job Summary: As a Data Services Engineer, you will be responsible for designing, developing, and maintaining robust data solutions using AWS cloud services and Snowflake. You will work closely with cross-functional teams to ensure data is accessible, secure, and optimized for performance. Your role will involve implementing scalable data pipelines, managing data integration, and supporting analytics initiatives. Responsibilities:

• Design and implement scalable and secure data pipelines on AWS and Snowflake (Star/Snowflake schema)
• Optimize query performance using clustering keys, materialized views, and caching
• Develop and maintain Snowflake data warehouses and data marts.
• Build and maintain ETL/ELT workflows using Snowflake-native features (Snowpipe, Streams, Tasks).
• Integrate Snowflake with cloud platforms (AWS, Azure, GCP) and third-party tools (Airflow, dbt, Informatica)
• Utilize Snowpark and Python/Java for complex transformations
• Implement RBAC, data masking, and row-level security.
• Optimize data storage and retrieval for performance and cost-efficiency.
• Collaborate with stakeholders to gather data requirements and deliver solutions.
• Ensure data quality, governance, and compliance with industry standards.
• Monitor, troubleshoot, and resolve data pipeline and performance issues.
• Document data architecture, processes, and best practices.
• Support data migration and integration from various sources. Qualifications:
• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 3 to 4 years of hands-on experience in data engineering or data services.
• Proven experience with AWS data services (e.g., S3, Glue, Redshift, Lambda).
• Strong expertise in Snowflake architecture, development, and optimization.
• Proficiency in SQL and Python for data manipulation and scripting.
• Solid understanding of ETL/ELT processes and data modeling.
• Experience with data integration tools and orchestration frameworks.
• Excellent analytical, problem-solving, and communication skills. Preferred Skills:
• AWS Glue, AWS Lambda, Amazon Redshift
• Snowflake Data Warehouse
• SQL & Python

Skills Aws Lambda,AWS Glue,Amazon Redshift,Snowflake Data Warehouse