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Senior Data Engineer - Enterprise Data Management - Lehi, Ut

Company: Ancestry
Location: Lehi
Posted on: April 9, 2021

Job Description:

Senior Data Engineer - Enterprise Data Management - Lehi, Utah or San Francisco (Remote) location Lehi, UT category Information Technology When you join Ancestry, you join a human-centered company where every person's story is important. We believe that by discovering the struggles and triumphs of our past, we can foster deeper bonds and more meaningful connections among families and communities. Our talented team of scientists, engineers, genealogists, historians, and storytellers is dedicated to empowering customers around the world from all backgrounds on their journeys of personal discovery. With more than 27+ billion digitized global historical records, 100 million family trees, and 18 million people in our growing AncestryDNA database, Ancestry helps customers discover their family story--and gain a new level of understanding about their lives.--Passionate about dedicating your work to enriching people's lives? You belong at Ancestry. At Ancestry we have an opportunity to work with massive data sets using multiple technologies and the team is looking for a Senior Data Engineer. This person will work directly with Marketing and Marketing Analytics in projects involving analytics for Marketing, support data initiatives related to Ancestry DNA, Geology, and Health products. Additionally, this person will work with other cross functional datasets. This role will primarily will directly report to the Enterprise Data Management organization and be part of the greater data and growth Strategy at Ancestry.-- What you'll do...

  • Lead Data Warehousing initiatives with the Data Delivery Team and work to support Marketing and Marketing Tech Data
  • Responsible for scaling the warehouse, strategize growth, best practices and streamline processes to meet Ancestry's data growth.
  • Understand Business, Operations and Analytics requirements for data from a multitude of sources
  • Develop, deploy, and support real-time automated data streams from numerous sources into the Data Lake and Data Warehouse.
  • Develop and implement data auditing strategies and processes to ensure data accuracy and integrity
  • Design Data Requirements and collaborate with internal customers to provide access to data
  • Implement technical solutions to maintain ETL processes and troubleshoot extraction failures
  • Be a self-starter and be able to work with ambiguous and undefined requirements
  • Ability to lead a team of Data Engineers Who you are...
    • BS or MS degree in Computer Science, IS or related field.
    • 3-5 years of experience managing Data Warehouse and working with Data Platform
    • Proficiency in cloud-based database technologies MySQL (Aurora), MSSQL, S3, Redshift
    • Accountable for meeting delivery dates on assigned projects and tasks
    • Ability to work collaboratively with both internal and external implementation teams
    • Must have a passion for data and helping the business turn data into information and action
    • Expert with data modeling, working with massive data sets, various data sources (MS SQL Server, mySQL, REST API's etc.) Spark, Kakfa, Kafka Connect and KSQL, Experience with Databricks,
    • Worked within the Agile methodology
    • Experience with Java and Python GD-Sponsored IND2 #LI-MY1 Additional Information: Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities. All job offers are contingent on a background check screen that complies with applicable law. For San Francisco office candidates, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records. Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means. Get tailored job recommendations based on your interests.

Keywords: Ancestry, Lehi , Senior Data Engineer - Enterprise Data Management - Lehi, Ut, Executive , Lehi, Utah

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