Introduction
We are looking for 10+Years experienced candidates for this role.
Job Description
A minimum of 10 years of experience in data engineering, encompassing the development and scaling of data warehouse and data lake platforms.
The candidate should possess a strong background in Snowflake, demonstrating leadership in technical design, architecture, and implementation of complex data solutions.
Working hours - 8 hours , with a few hours of overlap during EST Time zone. This overlap hours is mandatory as meetings happen during this overlap hours. Working hours will be 12 PM - 9 PM
Responsibilities include:
- Mandatory Skills: Snowflake experiance, Data Architecture experiance, ETL process experiance, Large Data migration solutioning experiance
- Lead the design and architecture of data solutions leveraging Snowflake, ensuring scalability, performance, and reliability.
- Oversee the implementation of data pipelines, ETL processes, and data governance frameworks within Snowflake environments. Ensure efficient data extraction from SAP BW/ECC systems
- Collaborate with stakeholders to understand business requirements and translate them into technical specifications and data models.
- Develop and maintain data architecture standards, guidelines, and best practices, including data governance principles and DataOps methodologies.
- Oversee the implementation of data pipelines, ETL processes, and data governance frameworks within Snowflake environments.
- Provide technical guidance and mentorship to data engineering teams, fostering skill development and knowledge sharing.
- Conduct performance tuning and optimization of Snowflake databases and queries.
- Stay updated on emerging trends and advancements in Snowflake, cloud data technologies, data governance, and DataOps practices.