Senior Data Engineer — Pharma Data Platform (Python +… - Jobeax
Opis oferty
Senior Data Engineer — Pharma Data Platform (Python + AWS) w Rzeszów, Polska
Sii Poland
Rzeszów, Polska
Sii Poland is seeking an experienced Senior Data Engineer to design, develop, and maintain scalable data platforms that enable advanced analytics and global decision-making. You will contribute to a modern data platform used across markets, delivering high-quality, data-driven solutions at scale.
You will implement Python-based data solutions, build robust pipelines, and collaborate with Agile teams while leveraging AWS services to support migrations and integrations in evolving environments.
Expected, Python, SQL, Microsoft Azure, Azure Data Factory, ETL/ELT, CI/CD, Databricks, Streaming Optional, dbt Operating system, Windows, macOS About the project, As a Senior Data Engineer, you will have the opportunity to support and further develop an Azure-based data integration solution built primarily around Azure ...
... Server, Azure Data Factory, Azure Databricks, PySpark, Spark SQL, ADLS, SQL, Microsoft Power BI, SSIS, SSRS Optional, Python, Java, Scala About the project, Senior Data Engineer role in an innovative data team, focused on ETL processes and cloud data tools. You will build and optimize data pipelines, ensure data quality ...
Expected, SQL, T-SQL, Python, Apache Spark, Databricks, Delta Lake, Azure Data Factory, C#, Microsoft Azure Optional, Microsoft Power BI About the project, Senior Data Engineer role focused on end-to-end data engineering in modern cloud architectures, bridging business needs with technical solutions. Join agile product ...
... Senior Data Engineer to join a growing Data & Analytics team and play a key role in developing and improving the company's data platform. Expected, Snowflake Data Cloud, SQL, Azure DevOps Optional, Azure DevOps, Microsoft Azure, Databricks Your responsibilities, Develop and maintain data pipelines and data warehouse solutions ...
... for an experienced Senior Data Engineer to join a cross-functional Agile team within the banking domain. The role focuses on designing and improving end-to-end data solutions across AWS cloud and on-premises ( Oracle DB ) environments, working with Airflow , dbt , and SAP Data Services , and contributing to Data Mesh and ...
Warszawa, Polska
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HIBERUS POLAND SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
Wymagane, Python, Pandas, AWS, DynamoDB, Git Mile widziane, Veeam, Azure DevOps O projekcie, Dla naszego klienta szukamy doświadczonego Senior Data Engineera do projektu z obszaru data engineering, skoncentrowanego na budowie i rozwoju skalowalnych rozwiązań chmurowych. Tak pracujemy, rozwijasz kilka projektów jednocześnie, ...
Expected, Python, Databricks, SQL, Microsoft Azure Optional, Airflow, Dagster, Apache Spark, Microsoft Power BI, Azure Event Hub, Kafka, Terraform Operating system, Windows, macOS About the project, As a Senior Data Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging ...
Expected, Python, SQL, Spark, Airflow, AWS, Cloudera, Iceberg Optional, Kubernetes, Kafka, NiFi, Trino, Hudi, Java, Scala, Docker, Databricks About the project, As a Senior Data Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging ...
... or Master's degree in Computer Science, Software Engineering, Data Engineering, or a related field - At least 5 years of professional experience in software engineering, data engineering, or backend development - Strong hands-on experience with Python - Experience designing and developing APIs and microservices architectures ...
Expected, Python, Databricks, SQL, Microsoft Azure Optional, Airflow, Dagster, Apache Spark, Microsoft Power BI, Azure Event Hub, Kafka, Terraform Operating system, Windows, macOS About the project, As a Senior Data Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging ...
... practices in data engineering., Ensure data consistency, security, and scalability within cloud-based environments. Experience in data engineering, with hands-on Databricks expertise., Strong experience in Python for automation and data transformation., Experience working with at least one major cloud platform (AWS, Azure, ...