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Builds and maintains data pipelines and warehouses using SQL and Azure big-data tools to feed analytics and AI teams.
Build and maintain scalable data pipelines and ETL processes for an investment team, using Python, SQL, and Linux to integrate financial data into a centralized warehouse.
Builds and maintains scalable ETL pipelines and data warehouses in Python/SQL to feed analytics and reporting for financial markets.
Designs and maintains data pipelines to move and transform financial data between source systems and target databases for BI and analytics using Ab Initio and cloud tools.
Designs and maintains ETL/ELT pipelines in AWS (Glue, Lambda, Redshift) to move and transform data, plus supports ML environments and optimizes data warehouse performance.
Designs and maintains Azure-based data pipelines and warehouses, integrating SAP systems to deliver real-time analytics and insights for business decision-making.
Builds and optimizes data pipelines and ETL processes using Python, Java, Scala, and AWS to transform raw data into actionable insights for a telecom company.
Builds and maintains scalable Azure data pipelines and warehouses for an automotive mobility company using Python, Spark, SQL, and Azure Data Factory/Databricks.
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.
Leads M&T Bank’s enterprise data engineering strategy, architecture, and modernization, overseeing platforms like Databricks and Snowflake to deliver scalable, compliant data capabilities that power analytics and AI-driven innovation.
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.
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