Our data engineering team is focused on delivering Product's first-in-class data products that serve all data users across the organization. As a member of the Data Platform Enterprise Services Team, you will collaborate with engineering and business stakeholders to build, optimize, maintain, and secure the full data vertical including tracking instrumentation, information architecture, ETL pipelines, and tooling that provide key analytics insights for business-critical decisions at the highest levels of Product, Finance, Sales, CRM, Marketing, Data Science, and more. All in a dynamic environment of continuously modernizing tech stack including highly scalable architecture, cloud-based infrastructure, and real-time responsiveness.
Product provides a unique, global work environment that captures the speed, innovation and excitement of a startup, at a thriving, growing and well-established industry brand.
We take pride in our data engineering and are looking for a talented and highly-motivated engineer with a passion for solving interesting problems to add to our high-performing team.
What you will do:
- Provide the organization's data consumers high quality data sets by data curation, consolidation, and manipulation from a wide variety of large scale (terabyte and growing) sources
- Build first-class data products and ETL processes that interact with terabytes of data on leading platforms such as Snowflake and BigQuery
- Partner with our Analytics, Product, CRM, and Marketing teams
- Be responsible for the data pipelines SLA and dependency management
- Write technical documentation for data solutions, and present at design reviews
- Solve data pipeline failure events and implement anomaly detection
- Work with various teams from Data Science, Product owners, to Marketing and software engineers on data solutions and solving technical challenges
- Mentor junior members of the team
Who You Are:
- Bachelor's degree in Computer Science or related field
- 6+ years experience in commercial data engineering or software development
- Experience with Big Data technologies such as Snowflake, Databricks, PySpark
- Expert level skills in writing and optimizing complex SQL; advanced data exploration skills with proven record of querying and analyzing large datasets
- Solid experience developing complex ETL processes from concept to implementation to deployment and operations, including SLA definition, performance measurements and monitoring
- Hands-on knowledge of the modern AWS Data Ecosystem, including AWS S3
- Experience with relational databases such as Postgres, and with programming languages such as Python and/or Java
- Knowledge of cloud data warehouse concepts
- Experience in building and operating data pipelines and products in compliance with the data mesh philosophy would be beneficial. Demonstrated efficiency in treating data, including data lineage, data quality, data observability and data discoverability
- Excellent verbal and written communication skills. Ability to convey key insights from complex analyses in summarized business terms to non technical stakeholders and also ability to effectively communicate with other technical teams
- Strong interpersonal skills and the ability to work in a fast-paced and dynamic environment
- Ability to make progress on projects independently and enthusiasm for solving difficult problems
Why join us:
- Ability to work remotely from anywhere in the world
- Close cooperation with the development team and client
- Opportunity to influence product development
- Professional growth: the certification preparation course is free for our specialists. The company pays for two attempts to pass the exam, regardless of the exam result
