Join Deloitte's Technology & Transformation practice as a Senior Snowflake Data Engineer in Hyderabad. You will be instrumental in unlocking the value hidden within vast datasets, providing strategic guidance and implementation services. This role focuses on managing diverse data sources and converting them into actionable insights for fact-driven decision-making.

We work across business intelligence, data management, performance management, and next-generation analytics, including big data, cloud, and machine learning technologies. This is an opportunity to drive client satisfaction and business growth by ensuring successful program delivery.

As a Snowflake Data Engineer, you will manage client relationships and oversee program or account delivery. You will be the primary liaison between the organization and its clients, ensuring alignment on goals, timelines, budgets, and expected outcomes. Your role involves driving client satisfaction and contributing to business growth through effective communication and project execution.

Key duties include developing and maintaining Snowflake data warehouse and Lakehouse components, building robust ELT/ETL pipelines using SQL and Python, and implementing advanced Snowflake features like Snowpipe and Time Travel. You will also be responsible for troubleshooting pipeline failures, tuning SQL queries for optimal performance and cost, and implementing stringent data protection controls. Collaboration with various teams, including architects, analysts, and business stakeholders, is crucial for delivering tested, production-ready data solutions.

We are seeking candidates with 6–8 years of experience in Snowflake data warehousing and Lakehouse development. Essential skills include building and operating ELT/ETL pipelines with SQL, Python, and orchestration tools, along with implementing core Snowflake features. Proficiency in integrating Snowflake with cloud storage on AWS, Azure, or GCP is required.

You should have strong capabilities in troubleshooting pipeline failures, data reconciliation, and implementing data quality checks. The role demands excellent SQL skills for query tuning and performance optimization, alongside practical experience with at least one orchestration tool like dbt or Airflow. Familiarity with Git, CI/CD practices, and cloud development principles is necessary. Awareness of AI/ML and GenAI data requirements is a plus. A Bachelor’s or Master’s degree in a relevant field is preferred.