Design and build scalable data pipeline architecture that can handle large volumes of data
Develop ELT / ETL pipelines to extract, load and transform data from various sources into our data warehouse
Optimize and maintain the data infrastructure to ensure high availability and performance
Collaborate with data scientists and analysts to identify and implement improvements to our data pipeline and models
Develop and maintain data models to support business needs
Ensure data security and compliance with data governance policies
Identify and troubleshoot data quality issues
Automate and streamline processes related to data management
Stay up-to-date with emerging data technologies and trends to ensure the continuous improvement of our data infrastructure and architecture.
Analyze the data products and requirements to align with data strategy
Assist in extracting or researching data for cross-functional business partners for consumer insights, supply chain, and finance teams
Enhance the efficiency, automation, and accuracy of existing reports
Follow best practices in data querying and manipulation to ensure data integrity
Requirements
Bachelor's or master’s degree in computer science, Data Science, or a related field
Must have 8+ years of experience as a Snowflake Data Engineer or related role
Must have experience with Snowflake
Strong Snowflake experience building, maintaining and documenting data pipelines
Expertise in Snowflake concepts like RBAC management, virtual warehouse, file format, streams, zero copy clone, time travel and understand how to use these features
Strong SQL development experience including SQL queries and stored procedures
Strong knowledge of ELT / ETL no-code / low-code tools like Informatica / SnapLogic.
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Senior Data Engineer • India
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