instinctools is a software development company that provides custom software solutions for businesses of all sizes. Our team works closely with clients to understand their specific needs and provide personalized solutions that meet their business requirements.
Looking for a Senior Data Analytics Engineer for one of our clients.
Location:
Europe, Poland, Kazakhstan
Client:
It offers a global mobility and urban services platform that allows users to book rides or other services and negotiate the fare directly with the service provider. It offers a variety of services including ride-hailing, intercity travel, delivery, and task assistance, operating in over 700 cities across 47 countries and is the second most downloaded mobility app in the world.
Project:
The Data Usage team is responsible for building and maintaining data pipelines and a centralized Data Warehouse (DWH) at inDrive, based on Google Cloud Platform.
One of the first major projects will be a Payment Provider Reconciliation.
The project focuses on automating multiple streams of financial reporting received from payment providers, reconciling them with internal data, and integrating the results into the DWH.
The goal is to improve transparency, consistency, and audit readiness of financial data across different providers and reporting formats.
Responsibilities and Tasks:
- Gather and clarify requirements from analytics and finance stakeholders
- Design and evolve DWH architecture (ODS / Data Marts) with audit requirements in mind
- Develop and maintain financial data pipelines
- Design, implement, and support incremental data pipelines
- Develop and optimize data marts in BigQuery (dbt, Dataform)
- Analyze source systems and build data flows from source to consumption
- Maintain and develop workflows in Airflow
- Participate in testing, data validation, and release processes
- Investigate data quality issues and financial discrepancies
- Maintain technical documentation required for audit and data governance
Our Expectations Of The Ideal Candidate:
- 5+ years of experience as an Analytics Engineer / DWH Engineer / Data Analyst working with DWH
- Hands-on experience with data warehouses Strong understanding of DWH architecture and data layers (ODS, Data Marts)
- Understanding of incremental loads, historical data handling, and deduplication
- Strong SQL skills
- Experience designing and optimizing data marts
- Experience with BigQuery (partitioning, clustering, cost-aware querying)
- Experience with Airflow or similar orchestration tools
- Ability to work with stakeholders and translate business needs into data requirements
Must Have To Be Familiar With:
- Languages: SQL (strong knowledge), Python (basic knowledge)
- Orchestration: Airflow or similar orchestration tool
- Version Control: Git Experience with Data Quality / Data Governance / SLAs
Nice To Have:
- Cloud & Storage: Google Cloud Platform (BigQuery, Dataform, Cloud Storage)
- Analytics & BI: Looker, Tableau
- Experience working with financial data or financial reporting
- Experience preparing data for audits or regulatory requirements
English:
Intermediate
Soft Skills:
- The ability to influence teammates and partner teams, and to communicate complex results clearly
We Offer:
- flexible working time
- professional and ambitious team
- learning opportunities, seminars and conferences and time for exploring new technologies
- co-funding for language courses (English)
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