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Build and maintain scalable Azure data pipelines and warehouses for an automotive company, using Python, Spark, SQL, and Azure Data Factory/Databricks.
Designs, optimizes, and secures SQL databases; builds ETL pipelines and reports in PowerBI and SSIS for business intelligence needs.
Designs and builds large-scale data pipelines in Google Cloud using Python, SQL, BigQuery, and ETL tools to turn raw data into actionable insights for business decisions.
Design and maintain scalable data pipelines on GCP and Snowflake, ingesting marketing/media data and feeding analytics tools like Amplitude to power AI-driven insights for global brands.
Build and maintain scalable data pipelines and ETL processes for a systematic investment team using Python, SQL, and Linux.
Build and maintain BI systems using Python, SQL, and Power BI to generate reports and analyze data for business decisions.
Designs and maintains ETL/ELT pipelines and data warehouses using SSIS, Snowflake, and Microsoft Fabric, focusing on SQL performance and data quality governance.
At Sia we believe AI is the cornerstone of the new generation. Our consultants business acumen combined with the expertise of our Data Scientists and AI products empowers us to address our clients business challenges…
Research Data Scientist analyzes large healthcare datasets for a national mother-and-child cohort study, building data pipelines and models to support maternal and child health research.
Location: Mockingbird Towers 4th FLR PCHP- Parkland Community Health Plan Primary Purpose Parkland Community Health Plans (PCHPs) Manager, Data Warehouse is responsible for providing oversight of PCHPs Data Warehouse…
Architect and maintain a hybrid cloud data platform (AWS + GCP/BigQuery) for a European fintech, building data lakes, pipelines, IAM, and observability to power analytics and AI transformation.
Designs and maintains scalable data pipelines, warehouses, and ETL processes for secure, real-time analytics and reporting, using tools like Informatica, Spark, and Python.
Build and maintain cloud-based data pipelines and warehouses using Python, SQL, and tools like GCP, Azure, Snowflake, and dbt to support BI and AI systems.
Senior Python developer building and scaling data-driven banking services using Python, Big Data tools, and cloud/on-prem infrastructure to process large datasets and integrate analytics models.
Technical Analyst at ARM in London: documents requirements, writes specs and user stories, and bridges engineering and architecture teams using SQL and API knowledge.
Analyze legal content data to generate insights that guide product and content strategies, building dashboards and reports using SQL, Python, and BI tools.
Builds cloud-based analytics pipelines and dashboards to extract business insights from retail data using data science and visualization tools.
Build cloud-based analytics and predictive models to turn retail data into business insights using Python, cloud data warehouses, and visualization tools.
Build and maintain Python backend services and data pipelines for a large-scale cloud data warehouse, using AWS and FastAPI/Flask while learning DevOps and AI-assisted development.
Maintains and secures SQL Server, Oracle, MySQL, PostgreSQL and cloud databases, tuning performance, enforcing backups, and troubleshooting issues for a large leisure and hospitality group.
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