Lead the team efforts in maintaining and enhancing the Holding’s data platform based on Greenplum and Dataiku: suggest, design, and implement new components and features, monitor, and increase the platform performance;
Design, implement and maintain data pipelines for ingesting data from Strategic assets to the Holding’s platform;
Resolve issues with data pipelines, data availability and quality on the platform;
Estimate required hardware, financial and people resources for the platform improvement initiatives;
Together with the data technology, data governance and data science teams at Strategic assets implement various cross-company data & analytics initiatives;
Help the data technology teams at the Strategic assets to define their annual action plans and evaluate their execution;
Facilitate the connecting and onboarding of new Strategic assets to the data platform: plan the activities, supervise the execution;
Organize and facilitate technical knowledge sharing among the Strategic assets;
With other colleagues from the Holding’s Data office, participate in the overall platform governance processes definition and improvement;
Participate in annual data office activities planning and budgeting;
Mentor and develop junior team members, including those outside of direct reports – both within the Holding and at Strategic assets.

Requirements

Rich experience with data platforms based on various technologies: architecture design, hands-on implementation, track record of large-scale data projects implementation;

At least 2 years of DWH administration / maintenance experience (ideally, Greenplum / Postgres);
Min 2 years of team lead experience (at least 2 direct reports);
At least 3 years of planning, designing, implementing, monitoring and fixing data pipelines in complex environments, and large variability of data sources;
Strong knowledge of SQL, good Python skills;
Deep familiarity with modern data management stack: DWH, Data Lakes, Lakehouses, ETL/ELT, MPP databases, orchestration, data cataloguing and quality management tools, containerized execution, etc.;
Experience of identifying, investigating, and resolving of data pipelines issues, data quality issues, platform performance issues in large data landscape.
Knowledge and active promotion of good engineering practices around data modelling, data access and code writing;
Experience with continuous integration practices;
Ability to write, debug, unit test, and performance test data integration processes;
Strong problem solving/critical thinking skills;
Upper-intermediate English is a must, spoken Russian is a plus.

Senior Data Engineer within Data Team