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Build and scale high-performance data pipelines and products in Kafka to power AI-driven job search and ML models for a global HR-tech platform.
Build and modernize backend services and TB-scale data pipelines in Python/Java to process aviation flight data, optimizing fuel use and CO² emissions for airlines.
Builds and optimizes cloud data pipelines on Azure and Databricks for global brands, applying DataOps practices in an international team.
Junior Data Center Engineer (100% zdalnie) Polska | Pełny etat | Środowisko globalne | Praca 100% zdalna O stanowisku Dołączysz do globalnego zespołu Data Center Services Engineering & Operations odpowiedzialnego…
6-month internship building big-data pipelines and analytics with Java/Scala/Python and Spark for Fortune 1000 clients under mentor supervision.
Build and maintain cloud-based ETL/ELT pipelines and data platforms using Python, SQL, and Spark to deliver analytics-ready data for business decisions.
Designs and optimizes ETL pipelines and data warehouse loads for financial BI projects using SQL and Informatica PowerCenter.
Senior Data Engineer builds and optimizes cloud-based ETL pipelines and data models for sales analytics at a large bank, using GCP, Python, SQL, and Gen/Agentic AI tools.
Designs and maintains scalable data pipelines using Databricks, Spark, and Azure to deliver business insights.
Designs and builds scalable data pipelines, warehouses, and ETL processes using GCP, BigQuery, Python, SQL, dbt, and Airflow for global clients.
Builds and maintains ETL pipelines, deploys ML models to production, and monitors data flows and model performance using Python, SQL, and Azure.
Build and maintain ETL pipelines, deploy ML models, and monitor data flows in a fintech environment using Python, SQL, and Azure.
Lead a team to design and build scalable Azure data pipelines and warehouses using Databricks, PySpark, and SQL to process large datasets for enterprise clients.
Designs and migrates enterprise data pipelines using Informatica and Microsoft Azure tools, blending ETL/ELT with cloud analytics and AI services.
6-month internship building big-data pipelines and analytics with Java/Scala/Python and Spark for Fortune 1000 clients.
Lead a team building and scaling Python-based data pipelines and models for regulatory reporting in finance, using Spark, Databricks, and Azure to process large volumes of data in batch and stream modes.
Senior Python Data Engineer builds and maintains scalable data pipelines and models for regulatory reporting in finance, using Python, Spark, and Databricks to process high-volume batch and streaming data.
Build and maintain scalable data pipelines and modern data platforms (Snowflake, cloud) to support analytics and AI use cases for international clients.
Build and maintain scalable ETL/ELT pipelines in AWS/Azure/GCP using Python, Spark, and SQL to power analytics and ML for global clients.
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