05 Oct
|
Akkodis
|
Bengaluru
Notice: 0 - 60 days
Overview:
We are looking for a highly skilled and motivated Snowflake Data Engineer to design, build, and optimize scalable and resilient data pipelines primarily leveraging Snowflake and Azure cloud services. This role plays a critical part in converting complex raw data into actionable business insights, maintaining high data quality, and supporting advanced analytics and reporting platforms like Visier. The ideal candidate will also have robust expertise in efficient data extraction and loading processes, especially from Oracle databases into Snowflake using Informatica Intelligent Cloud Services (IICS).
Key Responsibilities:
• Architect, develop, and maintain high-performance ETL/ELT pipelines, efficiently ingesting data from diverse enterprise sources—including Oracle databases—into Snowflake, utilizing Azure services (Fabric OneLake, Azure Blob Storage) and Informatica IICS.
• Manage end-to-end data extraction from Oracle, transformation, and loading to Snowflake, ensuring optimal data freshness, consistency, and accuracy.
• Design and implement advanced Snowflake data models including tables, views, materialized views, and secure views to support scalable analytics and reporting solutions.
• Leverage Snowflake’s advanced SQL capabilities, stored procedures, and Snowpark for complex transformations and data processing workflows.
• Ensure robust data governance by implementing role-based access controls, secure view configurations, and compliance with organizational and regulatory security requirements.
• Enable seamless integration of Snowflake data with Visier and other third-party analytics platforms through optimized data delivery and standardized formats.
• Continuously monitor and optimize data workflows for performance, cost-efficiency, and scalability; proactively troubleshoot and resolve pipeline issues.
• Collaborate cross-functionally with data analysts, business stakeholders, and IT teams to gather requirements and translate bu
📌 Data Engineer (Bengaluru)
🏢 Akkodis
📍 Bengaluru