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Senior Data Engineer
Senior Data Engineer to design, build, and optimize enterprise scale data platforms using Databricks, Python, and PySpark. This role focuses on developing high-performance batch and real-time data pipelines, implementing modern data engineering frameworks, and delivering reliable, governed data solutions.
Middle Data Analyst (команда SberAds)
Data Analyst in SberAds builds and maintains compliant, high-quality data pipelines between the ad platform, Sber, and ecosystem services, using SQL, Python, and Spark to ensure clean, reliable data flows.
Инженер данных
Builds and optimizes data pipelines (batch and streaming) for a pet nutrition company, using Airflow, Spark, Hadoop, and SQL.
Data Engineer
Designs and maintains multi-cloud data pipelines between AWS and GCP, builds large-scale data processing systems, and ensures data quality and security. Core technologies include Python, PySpark, SQL, Apache Airflow, dbt, Redshift, BigQuery, and S3.
Senior Data Platform Engineer
Senior Data Platform Engineer at DigiCert designing, building, and operating foundational data and ML infrastructure on Databricks, using Python, SQL, and Spark to power analytics and machine learning across the organization.
Analytics Engineer
As an Analytics Engineer at Allianz, you design, maintain, and evolve data assets for reporting, advanced analytics, and AI, using tools like Power BI, SQL, Python/PySpark, and Azure Data Platform. You ensure data quality, collaborate with teams, and develop analytical use cases.
Medior data engineer
As a data engineer at ProRail, you design and build data pipelines, migrate on-premise BI to cloud, and develop real-time dashboards using Azure Synapse and Microsoft Fabric for logistics solutions.
Дата инженер (Data engineer) Управление модельных рисков и валидации
A Data Engineer at VTB Bank responsible for evaluating model risk and validating models, focusing on data quality analysis, data warehouse preparation, automation of validation processes, and working on data lakes and MLOps, using SQL, PySpark, and Python.
Manager, Client Data Engineering
Lead a distributed data engineering team managing client implementations and ETL workflows for healthcare data using Python, PySpark, AWS, and Snowflake.
Python/ETL Developer
Python/ETL Developer building and maintaining scalable batch and real-time data pipelines for enterprise financial services applications, using Python, PySpark, Apache Airflow, DBT, and SQL.
Lead Data Scientist
Lead Data Scientist developing and refining data processing pipelines and analytical methodologies using Python and PySpark on large datasets at a consumer intelligence company.
Lead Data Engineer - Fabric
Lead Data Engineer responsible for designing, developing, and managing modern data platforms using Microsoft Fabric. The role involves building ETL/ELT pipelines, implementing Lakehouse structures, ensuring data governance, and mentoring junior engineers.
Fabric Architect
MS Fabric Architect responsible for strategic solution architecting, data architecture design, and migration of enterprise data environments to Microsoft Fabric. Core technologies include MS Fabric, SQL, Python, and PySpark for large-scale data processing and integration.
Sr. Data Engineer
Designs and maintains scalable data pipelines and ETL processes using PySpark, SQL, and Python, with a focus on Azure Databricks for large-scale data processing and ensuring data quality and performance.
Databricks Architect (Lead Data Platform Architect)
Design and scale enterprise-grade Databricks Lakehouse platforms using Spark, Delta Lake, and cloud ecosystems. Drive architecture strategy and data modernization initiatives.
Azure Data Engineer - Inglés Avanzado - ibiza
An Azure Data Engineer designs and maintains ETL workflows using Azure Data Factory, transforms and migrates data, collaborates with teams, and advises on migration strategies, focusing on data quality and value.
Middle Azure Data Engineer - Barcelona - barcelona
Senior Azure Data Engineer designing, implementing and optimizing scalable data solutions in Microsoft Azure and Microsoft Fabric, leading from data ingestion to insights delivery, including governance, security and AI integration capabilities.
Data Engineer - Machine Learning - madrid
Build and maintain scalable PySpark data pipelines and ML models using AWS, SageMaker, and MLflow for a banking analytics project.