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High – Tier-1 brand, mid-level data role in metro with broad Snowflake/AWS skill demands.
Medium – core data engineering skills transfer well, but Snowflake consulting experience increases specialization.
High – explicit 5–8 years requirement plus mandatory Snowflake, PL/SQL and AWS experience.
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Design, develop, and deploy data solutions utilizing Snowflake, Oracle PL/SQL, and AWS services with a focus on efficiency and maintainability.
Configure and manage robotic process automation workflows to streamline business processes and handle daily operational issues.
Collaborate with process owners and business teams to analyze current processes and design automation flows, ensuring proper documentation and change management.
5-8 years of experience in medium or large-scale data integration and data warehouse solutions.
Hands-on experience with Snowflake, Oracle PL/SQL, Control M, and AWS services such as S3, EC2, CloudWatch, Lambda, Fargate, and Terraform.
Bachelor's degree in Engineering (B.E./B.Tech) or Master of Computer Applications (M.C.A.) in Computer Science from a reputed university.
Experience with Agile Delivery methodology.
Experienced in end-to-end data warehousing and automation projects with a strong background in cloud technologies and RDBMS.
Capable of managing both technical development and business process automation with a structured approach to change control.
Comfortable working in Agile environments and coordinating cross-functional teams for seamless delivery of solutions.