Senior Data Engineer - Data Platform

Company: Sift Science
Location: San Francisco
Posted on: February 25, 2021

Job Description:

The Data Platform team is responsible for making Sift's data easy to use, understand, and communicate. This team ensures the availability, correctness, and data privacy compliance of information critical for Sift's day-to-day operations. Our customers include not just Sift's data science product teams, but also our sales, services, and business operations teams. We are excited about our plans to build our next generation data analytics solution. What you'll do : As a data engineer on Sift's Data Platform team , you will build data warehousing and business intelligence systems to empower engineers, data scientists, and analysts to extract insights from our data. You will design and build Petabyte scale systems for high availability, high throughput, data consistency, security, and end user privacy, defining our next generation of data analytics tooling. You will do data modeling and ETL enhancements to improve efficiency and data quality . You will mentor other engineers and promote data engineering best practices across the org anization. What would make you a strong fit:

• Experience writing and optimizing complex SQL and ETL development
• Experience designing and building data warehouse, data lake or lake house solutions
• Experience with distributed systems and distributed data storage.
• Experience with large scale data warehousing solutions, like BigQuery, Athena, Snowflake, Redshift, Presto, etc.
• Experience with a batch or streaming big data processing framework such as Spark or Flink
• Strong communication and collaboration skills particularly across teams or with functions like data scientists or business analyst.
• Experience with Python, Java, or similar languages
• Experience with cloud infrastructure (e.g. GCP, AWS)
• Experience with workflow orchestrators such as Airflow or Cloud Composer
• Experience with the analytics presentation layer (Dashboards, Reporting, and OLAP)
• Experience with designing for data compliance and privacy A little about us: Sift is the leading innovator in Digital Trust & Safety. Hundreds of disruptive, forward-thinking companies like Airbnb, Zillow, and Twitter trust Sift to deliver outstanding customer experience while preventing fraud and abuse. The Sift engine powers Digital Trust & Safety by helping companies stop fraud before it happens. But it's not just another anti-fraud platform: Sift enables businesses to tailor experiences to each customer according to the risk they pose. That means fraudsters experience friction, but honest users do not. By drawing on insights from our global network of customers, Sift allows businesses to scale, win, and thrive in the digital era. Benefits and perks:
  • 401k plan
  • Medical, dental and vision coverage
  • Wellness reimbursement
  • Flexible time off Sift is an equal opportunity employer. We make better decisions as a business when we can harness diversity in our experience, data, and background. Sift is working toward building a team that represents the worldwide customers that we serve, inclusive of people from all walks of life who can bring their full selves to work every day. Are you eligible to work in the country in which you're applying? --*
    Will you now or in the future require visa sponsorship for employment at Sift? --*
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    Diverse data fuels our technology and community. We partner with industry leaders to deliver end-to-end solutions for our customers. It's simple, we make better decisions as a business when we can harness diversity in thought, experience, data, and background. Sift is working toward building a team that represents the world-wide customers that we serve, inclusive of people from all walks of life who can bring their full selves to work every day, so we can Win as One Team. We want to hold ourselves accountable to incorporating inclusion into every step of our candidate and employee journey. We still have a lot to learn, but you can help. We invite applicants to voluntarily self-identify as to their gender, sexual orientation, race/ethnicity, ability and veteran status. Either way, we promise to treat this data with care. Any stored data will be maintained with confidentiality in mind and it will not be considered in our hiring decisions.
    

Keywords: Sift Science, San Francisco , Senior Data Engineer - Data Platform, Engineering , San Francisco, California