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
About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.
