Senior Data Engineer

October 30

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Description

• Define and extract data from multiple sources, integrate disparate data into a common data model. • Document and test complex data systems that bring together data from disparate sources. • Write and refine code to ensure performance and reliability of data extraction and processing. • Lead requirements gathering sessions with business and technical staff. • Develop advanced SQL queries to extract data for analysis and model construction. • Own delivery of large, complex data engineering projects. • Design and develop scalable, efficient data pipeline processes. • Ensure performance and reliability of data processes. • Collaborate with cross functional team to resolve data quality and operational issues. • Analyze and evaluate databases in order to identify and recommend improvements. • Design advanced eye-catching visualizations to convey information to users.

Requirements

• Bachelor’s degree and 5 years of experience with Oracle, Data Warehouses and Data Lakes, Big Data platforms and programming in Python, R or other related language. • In lieu of degree, 7 years of the experience as stated above. • Experience with Snowflake.

Benefits

• Annual Incentive Bonus* • 401(k) with employer match • Paid Time Off (PTO) • Competitive health benefits and wellness programs