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Wir bei IT sure sind ein Team aus Cloud-Enthusiasten, die mit Leidenschaft Microsoft-Technologien in Unternehmen bringen. Dabei setzen wir auf 100 % Cloud - kein On-Premises, keine halben Sachen. Mit Microsoft 365,…
Build and scale a cloud-native data platform for open-source intelligence, using Java/Spring and AWS to power AI/ML enrichment, ETL pipelines, and data discovery for the Intelligence Community.
Your Impact at LILA Lila’s mission is to accelerate scientific discovery with AI, and that depends on trustworthy scientific data. As a Data Engineer, you’ll build ETL pipelines and data models for Lila’s scientific…
LILA Sciences is hiring a Senior Director of Data Platform Engineering to lead a team of 30-40 engineers in building a scalable, self-service data infrastructure for AI/ML and scientific research. The role involves defining technical strategy, managing data lakehouse architectures, and supporting high-performance ML workloads using technologies like Python, Kafka, Flink, and cloud-native tools.
Design and optimize scalable data pipelines and models for the Data Platform & AI Team. Deliver analytics-ready data, ensure data quality, and collaborate with BI teams using SQL and cloud platforms (GCP/AWS/Azure).
D L RESOURCES PTE LTD in Singapore seeks a skilled data engineer to design, develop and optimize large-scale data pipelines using Hadoop and Spark. You will work with data lake architecture and NoSQL/SQL data stores to…
Design and maintain ETL/ELT data pipelines using Python and PySpark, develop lakehouse architectures, and deploy containerized solutions on Kubernetes to enable data-driven decision-making.
Lead design and development of overseas data warehouse and platform for mobile, IoT, and app data; build scalable pipelines using Spark, Flink, and apply ML/NLP techniques to extract insights from large datasets.
Design and implement data pipelines on Cloud platforms, optimize SQL queries, and collaborate with analysts and scientists to deliver reliable data solutions. Build scalable pipelines for large data volumes and develop high-performance architectures.
Design, implement, and maintain scalable batch and real-time data pipelines, ETL processes, and data warehousing solutions using Python, SQL, and big data technologies like Spark and Hadoop for defense and government sectors.
Build and maintain financial data pipelines and Snowflake/dbt architecture for billing and revenue. Collaborate with finance and AI stakeholders to ensure data quality for BI and analytics.
Build and scale the architecture of a global SaaS data platform using Python, SQL, AWS, and Terraform. Focus on data warehousing migration, performance tuning, and infrastructure as code.
Leads the product strategy and roadmap for Unity Catalog, Databricks' metadata and governance platform, collaborating with engineering and enterprise customers to deliver security, compliance, and discovery features for data and AI assets.
Lead the design and development of scalable cloud-based data solutions and pipelines using Azure Data Factory, Databricks, and Spark to support analytics and AI decision-making for a global construction leader.
Responsibilities Peraton's Department of the Interior (DOI), U.S. Fish and Wildlife Service (FWS), and NOAA's National Marine Fisheries Service (NMFS) have identified a critical gap in the federal…
Lead data platform evolution by designing robust pipelines, optimizing analytical architectures with AWS and Spark, and automating environments via DevOps and Infrastructure as Code.
Senior Data Engineer for a hybrid project in Madrid, utilizing PySpark, SQL, and AWS to manage data infrastructure and processing tasks.
Design and maintain data pipelines using dbt and Snowflake for a financial services firm. Build data products for fund accounting and regulatory reporting while ensuring data quality and platform security.
Designs ELT pipelines with dbt on Snowflake and manages data infrastructure for a financial services client, focusing on security via IaC and data governance.
Design and optimize scalable data pipelines for a Bioinformatics team, integrating clinical data sources and ensuring integrity via CI/CD and regulatory practices.
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