Data Engineer with Snowflake and Python
Data Engineer with Snowflake and Python We are seeking an experienced Senior Data Engineer with strong expertise in Snowflake, Python, Snowpark, and PySpark to design, develop, and maintain scalable data solutions. The ideal candidate will have hands-on experience building ETL pipelines, working with cloud data warehouses, developing complex SQL scripts, and supporting data transformation processes.The candidate will collaborate with business and technical teams to deliver high-quality data solutions while leveraging modern data engineering practices, Agile methodologies, CI/CD processes, and emerging technologies.Key Responsibilities: Design, develop, and implement scalable ETL/ELT pipelines within and outside data warehouses using Python and Snowflake SQL.Develop and optimize complex SQL queries for Snowflake Cloud Data Warehouse environments.Perform data analysis, transformation, and integration activities within Snowflake.Build and maintain Snowflake objects including: Stored Procedures, Views, Streams, Tasks, Snowpark applications.Develop automation scripts using Python, Unix/Shell scripting, and other scripting technologies for data extraction, loading, and transformation.Troubleshoot and resolve production issues related to Snowflake tables, data reloads, transformations, and data quality.Create complex SnowSQL scripts supporting enterprise reporting and analytics requirements.Work with databases including Oracle and Snowflake for data engineering and analytics solutions.Explore and implement AWS cloud technologies to improve data processing capabilities and efficiency.Participate in Agile development processes including sprint planning, stand-ups, and delivery activities.Collaborate with cross-functional teams including data analysts, business users, and application teams.Required Technical Skills: 8+ years of experience in Data Engineering / IT industry.Strong hands-on experience with Snowflake, Snowpark, Python, PySpark.Strong programming experience with Python libraries: Pandas, NumPy, Matplotlib.Expertise in developing ETL pipelines and data transformation workflows.Strong SQL skills including complex queries and performance optimization.Experience with Snowflake features: Stored Procedures, Streams, Tasks, Views, SnowSQL.Strong knowledge of PL/SQL and database scripting automation.Experience working with databases such as Oracle and Snowflake.Experience with GitHub and Jupyter Notebook.Understanding of CI/CD concepts and tools.Experience working in Agile/Scrum environments.Preferred / Good-to-Have Skills: Snowflake SnowPro Data Engineer certification.PySpark and Python certifications.Experience with AWS cloud services.Knowledge of Generative AI and GitHub Copilot.Experience with modern data analytics and cloud data platforms.