Sr. Data Engineer

•         Minimum 7 years of experience in Data Management, with deep expertise in analytical data warehousing and enterprise-scale data platforms, leading complex data initiatives end to end.

•         Knowledge in designing, building, and operating agentic AI systems within the Snowflake Data Cloud, leveraging Cortex AI capabilities

•         Minimum 3 years of hands-on experience with Snowflake Cloud Data Warehouse, including advanced features and performance optimization for large, concurrent analytics workloads.

•         Strong expertise in AWS cloud architecture, with hands-on experience designing and supporting scalable, secure, and cost‑efficient data solutions using core AWS services.

•         develop complex SQL and PL/SQL procedures to support robust, high‑performance data integration and transformation frameworks.

•         Provide solutions using Snowflake services such as Snowpark, Streams, Tasks, and Snowpipe to build real‑time and batch data integration solutions in an AWS ecosystem.

•         Drive data architecture decisions by applying strong knowledge of logical and physical data models, enabling analytics, reporting, and business intelligence at scale.

•         Lead the development of dimensional models, including slowly changing dimensions (SCDs) and various fact table designs, aligned with analytics and reporting best practices.

•         Support unit testing, system integration testing, and UAT, and ensuring production‑ready data solutions.

•         Expertise in SQL performance tuning, proactive monitoring, root cause analysis, and resolution of complex data pipeline and platform issues.

•         Act as a developer within Agile delivery teams, contributing to sprint planning, story design, estimation, and documentation using Jira.

•         Demonstrate strong verbal and written communication skills, effectively collaborating with architects, product owners, business stakeholders, and cross‑functional technology teams.