Software Engineer Iii, Data
vor 4 Wochen
The Company Cover Genius is a Series E insurtech that protects the global customers of the world's largest digital companies including Booking Holdings, owner of Priceline, Kayak and Booking.com, Intuit, Uber, Hopper, Ryanair, Turkish Airlines, Descartes ShipRush, Zip and SeatGeek.
We're also available at Amazon, Flipkart, eBay, Wayfair and SE Asia's largest company, Shopee.
Our partners integrate with XCover, our award-winning insurance distribution platform, to embed protection for millions of customers worldwide each year.
Our team and products have been recognized with dozens of awards including by the Financial Times which ranked Cover Genius as the #1 fastest-growing company in APAC in 2020.
Our diverse team across 20+ countries and many language groups commit itself to diverse cultural programs, in particular "CG Gives" which makes social entrepreneurs out of us all and funds development initiatives in global communities.
Our People are Bold, Authentic, Purposeful and Inspired
Our People are not Perfect, Traditional, Complacent or Cautious
As a Data Engineer on our data team, you will own the responsibilities of developing and maintaining robust data pipelines and data infrastructure for our analytics, machine learning and reporting platform.
To drive success in this role, you will have experiences in using SQL and Python to design and implement the data platform using in cloud.
As the Data Engineer you will regularly collaborate with data scientists, software engineers and other data users in ensuring the desired data availability and accuracy are achieved.
Key Responsibilities: Practice the best software engineering principles to design and implement efficient data pipelines to collect, process, and store large volumes of data from both SQL, API, streaming data, and so on. Follow the best practices to maintain and operate the data platform including Airflow, dbt, Dataflow, and BigQuery.
Achieve the required data availability and accuracy KPI.
Implement data governance and security measures, ensuring compliance with data privacy regulations and best practices. Troubleshoot and resolve data-related issues, conduct root cause analysis, and implement preventive measures. Support Machine Learning Engineers in creating real-time and batch data pipelines that fit the data specification and ML inference assessment. Support Analytics Engineers to build out data models to create metrics for product performance. To be successful in this role you will bring: Strong proficiency in using cloud data warehouses such as BigQuery, Snowflake, Redshift, or any other cloud-based data warehouse. Proficient SQL and Python coding skills to deliver reliable solutions for data engineering and/or machine learning use. Experience developing Airflow or other open-source data orchestration tools and operating them in a production environment. Reliability as an individual, owning the work you shipped. Self-motivated and continuously studying the new practices and tools in data engineering. B.S., M.S.
in Data Science, Computer Science, Math, or a related STEM field. Minimum 1 year of working experience as a data engineer. Cover Genius not only cares about being the best in our industry, we care about our team.
We're a business that understands life can be fluid, and so we flex to ensure we provide the environment to suit that.
What does that mean?
Flexible Work Environment - we are outcome-focused and understand that for our people to perform at their best, flexibility is critical. Employee Stock Options - we want our people to share in our success; we reward them with ownership for their contribution in creating a world-class company. Work with like-minded people who are passionate about both the work we're doing and giving back.
Our CG Gives programs enable us to all become philanthropists through our peer recognition and rewards system. Social Initiatives - pictures speak a thousand words Cover Genius promotes diversity and inclusivity.
We don't tolerate discrimination, demeaning treatment of anyone, or harassment due to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.
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