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About the role
Roles and Responsibilities : Design, develop, test, deploy and maintain large-scale data pipelines using ETL tools such as Spark, Scala, Python. Collaborate with cross-functional teams to gather requirements and design solutions for complex business problems. Develop high-quality code in languages like SQL, Python, Scala to ensure efficient processing of large datasets on cloud platforms like AWS or Microsoft Azure. Troubleshoot issues related to data quality, performance tuning, and scalability of the system. Job Requirements Required Skills 8+ years of experience in Data Engineering or Data Warehousing. Strong hands-on experience with Snowflake. Expertise in Snowpark, Python, and SQL. Experience developing and optimizing SQL and Python stored procedures. Strong understanding of ETL/ELT frameworks and data integration patterns. Experience with data modeling and performance optimization. Familiarity with JIRA and Confluence. Strong analytical, troubleshooting, and problem-solving skills.
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