Sr. Data Engineer
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Requirements
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field • Must have 15+ years of experience as a Data Engineer or related role • 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. • Well versed in data standardization, cleansing, enrichment, and modeling • Proficiency in one or more programming languages such as Python, Java, or C# • Experience with cloud computing platforms such as AWS, Azure, or GCP • Knowledge of ELT/ETL processes, data warehousing, and data modeling • Familiarity with data security and governance best practices • Excellent hands-on experience in problem-solving and analytical skills and improving the performance of processes • Strong communication and collaboration skills
Responsibilities
• 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 • e.l.f. Beauty respects your privacy. Please see our Job Applicant Privacy Notice (www.elfbeauty.com/us-job-applicant-privacy-notice) for how your personal information is used and shared.