Position: Data Integrity Engineer
Company: Erbis
Experience required: 5y
English level: intermediate

**WHO WE ARE**
We are Erbis, a full-cycle development team building innovative solutions to help entrepreneurs and enterprises change the world for the better.
We are seeking an experienced candidate to be a part of our database team and develop a long-term roadmap for analytic capabilities.

The qualified candidate will have the ability to directly impact the building of new tools, services, and distribution structures across Amazon’s growing footprint. In this role, you will work to create a new AWS data warehouse environment that needs to scale and leverage ML tools. You should be passionate about working with huge datasets and be someone who loves to bring data together to answer business questions.

**KEY RESPONSIBILITIES:**
—Define and build a solid data infrastructure, underpinning enterprise scale BI analytics and reporting platforms.
—Partner with Product Management teams to drive requirements for new products and integrate data during product development.
—Develop a long-term business intelligence strategy/analytics/tools roadmap and self-service reporting capabilities, and drive the implementation end-to-end.
—Develop and maintain OLAP ETL project using PL/SQL, AWS Glue (Python), RedShift.
—Support Java and Data Science development teams as a database expert.

**BASIC REQUIREMENTS:**
—Statistics, Applied Mathematics, Operation Research, Economics or a related quantitative bachelor or master’s degree.
—4+ years of experience with data querying languages SQL/PL SQL.
—4+ years of work experience with Oracle Database.
—4+ years of experience with large-scale data warehousing and analytics projects, modeling, ETL development.

**NICE TO HAVE:**
—Experience with DWH / ETL using Amazon Web Services technologies (DMS, Glue, Redshift, Athena etc).
—Experience with programming languages: Python/Java/Scala.
—Experience with statistical/mathematical software R/Weka/SAS/Matlab, data extraction, manipulation, statistical analysis and predictive modeling.
—Experience in projects involving cross-functional teams and leaders to build scalable processes and metrics.
—Experience articulating business questions and using quantitative techniques to arrive at a solution using available data.
—Experience building data products incrementally and integrating and managing datasets from multiple sources.
—Proven track record of sharing analytical outcomes through written communication, including an ability to effectively communicate with both business and technical teams.
—Ability to think big, understand business strategy, provide consultative business analysis, and leverage technical skills to create insightful, effective data strategy.

**ADDITIONAL DETAILS:**
—Depth and breadth in quantitative knowledge. Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools.
—Experience processing, filtering, and presenting large quantities (Millions to Billions of rows) of data.
—Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
—Intermediate Strong/Upper Intermediate English verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences.
—Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations.
—Nice to have: experience with data visualization software such as Tableau.

**WE HAVE SOME PERKS & BENEFITS. YOU CAN:**
—Stay safe with our COVID-19 Prevention & Protection Office Policy.
—Choose your working mode and working hours.
—Get recharge with 24 working days of vacation.
—Get well faster with paid sick leave.
—Attend our free English classes.
—Join company parties, cultural, and sports events — due to the current situation on a virtual basis.
—Participate in a recycling campaign in our cozy office.
—Count on refreshments to keep you energized throughout the office day.