Senior Data Engineer within Data Team
Baku, Baku, Azerbaijan
PASHA Holding
- 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Data governance Data management Data pipelines Data quality ELT Engineering ETL MPP Pipelines PostgreSQL Python SQL
Region:
Asia/Pacific
Country:
Azerbaijan
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Category:
Engineering Jobs
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