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Build and maintain data pipelines and warehouses using SQL Server, SSIS, and SSRS to support financial services reporting and analytics.
Builds and maintains data pipelines and warehouses using SQL Server, SSIS, and SSRS to support financial reporting and analytics in an asset-management context.
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.
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…
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.
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.
MongoDB presales architect provides technical guidance to customers, demonstrating how MongoDB’s database platform solves their data challenges.
Designs and maintains MongoDB databases and ETL pipelines for banking systems, ensuring secure, scalable data management for financial applications.
Lead the design and scaling of a marketing analytics platform’s data pipeline using AWS S3, Athena, EKS, and Airflow for OLAP workloads and ETL processes.
Lead a team to architect and maintain a high-volume marketing analytics platform, designing S3-backed data lakes, ETL pipelines, and OLAP workloads using AWS tools like Athena and Airflow.
Lead a team to design and maintain scalable data pipelines and analytics architecture for a high-volume marketing analytics platform using AWS, Airflow, and OLAP systems.
Lead the design and implementation of ETL pipelines and a scalable S3-backed data lake for a marketing analytics platform using Airflow, AWS Athena, and EKS.
Lead a team to design and maintain OLAP pipelines on AWS, using Airflow for ETL orchestration and S3-backed data lakes for large-scale marketing analytics.
Lead a team to design and maintain S3-backed data pipelines and OLAP architecture for a marketing analytics platform using Airflow, Athena, and AWS EKS.
Design and maintain a high-volume marketing analytics data lake and ETL pipelines using AWS, S3, and Airflow to process and orchestrate near-real-time data flows.
Build backend services and frontend interfaces for a data-driven marketing analytics platform using Python, React, and TypeScript, integrating ETL pipelines, data lakes, and ML outputs.
Designs and builds end-to-end data pipelines on Azure Synapse and Data Factory, modeling relational/ dimensional data in T-SQL and PySpark to deliver governed analytics platforms for clients in industrial, energy, consumer and public sectors.
Build and maintain a modern cloud data lake on Google BigQuery, writing Python/SQL pipelines to feed Salesforce and marketing systems for a large Italian bank.
Designs and builds cloud-native data pipelines, ELT workflows, and data models for a data lake/warehouse using Python, Java, Spark, and cloud platforms like GCP or Microsoft Fabric.
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