Senior Data Engineer / Data Lead

WinMax Systems Corporation in San Francisco, CA

  • Industry: Information Technology - Data Architect/Analyst/Administrator
  • Type: Full Time
  • Compensation: $95,630.00 - 149,340.00 / Year*
position filled
Lead data engineer 12 Months Contract San Francisco, CA About The Job You will be working to help lead the new the data engineers on site at Client. Your responsibilities will include but not be limited to leading a team through an end to end data management and support of our data lake. You will be responsible for communicating effectively with multiple stake holders and teams including those in Product management, QA, FED, and data Scientists. Effective communication and understanding of data science is a must have! Experience and comfort in supporting and leading a team that is heavily based off-shore highly recommended. Data Engineering- ETL Processes, data cleansing, business logic creation in SQL programs, getting familiar with the data and be a SME in the data domain that they are assigned to. The role is a lead data engineer that has the ability to be hands on and drive productivity while also leading. The responsibilities of the team include building data pipelines, building ETL jobs, creating python scripts for alertingmonitoring framework or testing framework, and some java experience (nice to have). About You Bachelor's degree in Business, Science, Engineering or Technology 2+ years of Experience working to lead a project team in end to end completion. 5+ years of prior experience working in a Development focused role. Proven experience working with and supporting data scientists specifically revolving around data flow Having a good overall understanding of Data flow, API s, and Data Analytics in order to properly communicate and support multiple stakeholders Demonstrated ability to understand and discuss technical concepts, manage tradeoffs and evaluate opportunistic new ideas with all partners. Strengths in problem solving, issue-resolution, ability to work in a deadline-conscious work environment, attention to detail, and ability to multitask. Strong oral and written communication skills, and ability to think clearly, analyze quantitatively, problem-solve, support scope of requirements and prioritize. Technology stack Python Java SQL Overall understanding of AWS Redshift Spectrum Understanding of Data Lake creationarchitecture Day to day -80 hands on as data engineer -20 leadingguiding the small team of 3 -Working primarily with Redshift, python and SQL -Understand and ability to guide team on best practices for building a data lake
Associated topics: data center, data engineer, data integration, data manager, data quality, data scientist, data warehouse, data warehousing, mongo database administrator, teradata

* Estimated salary

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