Jobs → Data & Analytics → Snowflake Data Engineer

About the Role We are seeking a Snowflake Data Engineer with Python and Data Science expertise to join our team. This role involves developing and maintaining data solutions using Snowflake, optimizing complex SQL queries, and building ETL/ELT pipelines. Key Responsibilities • Develop and maintain data solutions using Snowflake. • Write and optimize complex SQL queries, views, stored procedures, and data transformation processes. • Develop and maintain ETL/ELT pipelines for loading and transforming data from multiple sources. • Work with Snowflake features such as Snowpipe, Streams, Tasks, Time Travel, and Zero-Copy Cloning. • Perform data validation and troubleshoot data pipeline and data quality issues. • Monitor and optimize Snowflake queries and workloads for performance and cost efficiency. • Work with data scientists, analysts, and business teams to understand data requirements. • Perform data preparation, cleansing, transformation, and exploratory analysis. • Support data science and machine learning initiatives by preparing datasets and developing data pipelines. • Apply basic statistical and analytical techniques to identify patterns and generate insights. • Develop data processing and automation scripts using Python. • Build reusable utilities for data extraction, transformation, validation, and processing. • Automate repetitive data engineering and quality-check activities. • Integrate Snowflake with databases, APIs, files, and other enterprise data sources. • Work with cloud platforms such as AWS, Azure, or GCP. • Implement data quality and validation checks. • Ensure data accuracy, completeness, consistency, and reliability. • Collaborate with data engineers, data scientists, analysts, architects, and business stakeholders. • Document data solutions, processes, and technical implementations. Requirements • 7–10 years of experience in Data Engineering, Data Science, Analytics, or a related field. • Strong hands-on experience with Snowflake. • Snowflake certification is preferred. • Strong proficiency in SQL and experience with complex query development and optimization. • Good hands-on experience with Python for data processing and automation.