Posted:11 hours ago|
Platform:
On-site
Full Time
Responsibilities Design, develop, and maintain efficient and scalable Snowflake data warehouse solutions on AWS. Build robust ETL/ELT pipelines using SQL, Python, and AWS services (e.g., Glue, Lambda, S3). Collaborate with data analysts, engineers, and business teams to gather requirements and design data models aligned with business needs. Optimize Snowflake performance through best practices in clustering, partitioning, caching, and query tuning. Ensure data quality, accuracy, and completeness across data pipelines and warehouse processes. Maintain documentation and enforce best practices for data architecture, governance, and security. Continuously evaluate tools, technologies, and processes to improve system reliability, scalability, and performance. Ensure compliance with relevant data privacy and security regulations (e.g., GDPR, CCPA). QualificationsBachelor s degree in Computer Science, Information Technology, or a related field. Minimum 6 years of experience in data engineering, with at least 3 years of hands-on experience with Snowflake. Strong experience working with AWS services such as S3, Glue, Lambda, Redshift, and IAM. Proficient in SQL and Python for data transformation and scripting. Solid understanding of data modeling principles (Star/Snowflake schema, normalization/denormalization). Experience in performance tuning and Snowflake optimization techniques. Excellent problem-solving skills and ability to work independently or as part of a team. Strong communication skills, both written and verbal.
Blend360 India
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