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Design and build enterprise data warehouses, ETL/ELT pipelines, and BI dashboards for a global SaaS provider, ensuring clean, governed data across finance and supply-chain domains.
Data Engineer in the Digital Tribe at OTP Bank responsible for developing analytics for digital non-credit products (debit cards and VAS products), ensuring data quality, transparency of client processes, and creating a unified system of product metrics. Core technologies include SQL, Python, BI platforms (Power BI, FineBI, Tableau, Apache Superset), event analytics systems (AppMetrica, Firebase,
Build and maintain AI/ML integrations for ClickHouse, including Python connectors, vector stores for RAG, and feature stores, enabling developers to use ClickHouse in AI workflows.
ETL engineer automates data pipelines for Moscow’s unified digital justice platform, extracting/transforming data from SQL/NoSQL, Kafka, and cloud sources (S3) while designing PostgreSQL data marts, enforcing OpenLineage lineage tracking, and integrating with OpenMetadata/Superset for governance and BI.
Builds and maintains data analytics pipelines, dashboards, and reports using SQL, Python, and BI tools to support regulatory reporting and decision-making.
Owns the Workflows automation module in a SaaS platform, refining builder UX, reducing time-to-value, and driving adoption of no-code workflows for agencies and SMBs.
Build and maintain CrowdStrike’s data platform using Airflow, Superset, Terraform, and Python, ensuring scalable analytics infrastructure for cybersecurity operations.
Senior DevOps engineer builds and runs Kubernetes/AWS EKS clusters for containerized Manufacturing Execution Systems, group IT apps, and cloud architecture across global sites, automating CI/CD, IaC, and observability.
Build and optimize data pipelines, warehouses, and microservices for a bank’s modernization effort using Java, Python, and cloud tools like Kafka and Airflow.
Lead a team to design and implement personalized travel experiences using data, ML models, and cross-functional collaboration to boost conversion and customer lifetime value.
Lead a team building scalable data solutions for Kubernetes and cloud machines, focusing on Big Data and MySQL databases using Python and modern ops practices.
Lead a data governance program for Canonical’s internal data mesh, defining policies and building Python tooling to automate data labeling, quality metrics, and access controls using open-source tools like Trino and Ranger.
Build and maintain open-source data, workflow, and AI/ML solutions using Python, Kubernetes, and tools like Kubeflow and Airflow for global cloud and on-prem deployments.
Builds and automates fault-tolerant distributed data platforms in Python, focusing on PostgreSQL, MySQL, Kafka, Kubernetes and cloud/private-cloud stacks for enterprise deployments.
Analyze credit data to drive growth and decision-making, building dashboards and insights using Python, SQL, and visualization tools.
Builds dashboards, optimizes SQL queries, and models data for Moscow’s digital city services using Tableau/Power BI, SQL, Python, and Data Vault 2.0.
Builds and maintains a semantic layer for AI agents, transforming raw telecom data into trusted, agent-consumable metrics using SQL, dbt, and MCP servers.
A fraud data analyst investigates payment fraud patterns, quantifies financial/operational impact, and builds dashboards to monitor trends. They collaborate with engineering and fraud teams to design and implement rule-based mitigations using SQL, BI tools, and Python.
appflame — a Ukrainian IT company building world-class products: Hily, Taimi, AdConnect. Who we are today: 7 years on the market, 500+ employees, offices in Kyiv, London, and Limassol, plus a coworking space in Warsaw.…
Leads Ozon Travel’s personalization strategy, bridging business needs with ML-driven recommendations and cross-functional teams to boost conversion and customer lifetime value.
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