Position summary:
We are seeking enterprise-grade Senior Snowflake Data Engineers with a decade of proven data engineering mastery to lead the architecture, optimization, and scaling of our data infrastructure.
In this role, you will design robust ELT/ETL pipelines, build scalable data warehouse models, and translate data strategies into high-performance products. You will leverage advanced Snowflake features, modern programming settings, and secure cloud platforms to provide clean, reliable data assets to cross-functional teams including Consumer Insights, Supply Chain, and Finance.
Required skills:
10+ years of dedicated Data Engineering experience, with at least 5+ years of core specialization in Snowflake.
Deep practical expertise in Snowflake security and administration (RBAC management, virtual warehouses) and advanced features (Streams, Tasks,



Zero-Copy Clone, Time Travel, and custom File Formats).
Expert-level SQL development background with advanced mastery of structural query writing, indexing, and performant Stored Procedures.
High proficiency working with no-code/low-code ETL orchestration tools alongside solid programmatic capabilities in at least one contemporary language (Python, Java, or C#).
Strong hands-on experience deploying data frameworks within major public cloud computing ecosystems (AWS, Azure, or GCP).
Deep understanding of data warehousing paradigms, data modeling (Star/Snowflake schema), cleansing methodologies, and rigid data governance guardrails.

📌 Snowflake Data Engineer Hyderabad
🏢 K-logix Partnering Solutions
📍 Hyderabad