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The Senior Data Architect will work part-time to lead the JIMS 3.0 project for the Government of Alberta, focusing on migrating legacy data marts into an integrated Enterprise Data Warehouse. The role involves data profiling, ETL development, and architectural design using tools like Power BI and SQL Server.
Data Engineer - Remote - £70,000 - FTC or Permanent An established client is seeking a Senior Data Engineer on an initial contract. You will be responsible for designing, developing, and optimising robust data…
BI Analyst responsible for owning business intelligence across the organisation, building and maintaining Power BI dashboards, analysing data, and working with data warehouses and ETL/ELT pipelines to deliver actionable insights to stakeholders.
AWS Data Engineer building and maintaining ETL/ELT pipelines, data models, and datamarts using Amazon S3, Redshift, QuickSight, Python, PySpark, and SQL within a hybrid work model.
Senior Data Architect designing enterprise data models, standards, and pipelines across on-prem and cloud environments (Azure, AWS, Microsoft SQL Server/BI stack) for a DoD mission partner.
Leads design, development, and maintenance of large-scale Microsoft BI solutions (SQL Server, SSIS, Power BI) in enterprise environments, focusing on data warehousing, ETL pipelines, and analytical modeling for regulated industries like banking.
Builds and maintains Power BI dashboards and data models to visualize client data, integrating with Google Cloud (BigQuery, Cloud Composer) and ETL tools (SSIS) for analytics. Core focus: data transformation, Python/SQL scripting, and Agile collaboration with stakeholders.
Integration Support Specialist developing and maintaining Microsoft Azure integration solutions (ESB, App Service, Functions, API Management) and .NET-based APIs for a federal government client in a hybrid Canberra CBD role.
You belong to the top echelon of talent in your field. At one of the world's most iconic financial institutions, where infrastructure is of paramount importance, you can play a pivotal role. As an Infrastructure…
The Data Engineer III will build and maintain data pipelines, develop BI dashboards, and use Python and SQL to analyze platform performance metrics. This role supports cross-functional teams at a fintech company by transforming complex data into actionable business insights.
Develop and enhance BI products (dashboards, datasets, semantic layers) and provide consulting support to stakeholders, using SQL, SAS, Python, Tableau/Power BI, and cloud data platforms like Snowflake and Redshift in a hybrid role based in Gurgaon.
Support APAC Equity Derivative Settlements by liaising with clients on settlement matters, resolving trade discrepancies, and ensuring payment system accuracy within a major financial institution.
Job Description We are looking for an experienced software and applications manager with strong expertise in banking applications, regulatory reporting, software development, data management, and project delivery . The…
Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients,…
Designs and leads cloud-based data architecture for Homeland Security, building scalable ETL pipelines, data warehouses, and metadata-driven solutions using Azure Synapse, ADF, and SQL/Python.
Senior BI Developer building and managing Tableau dashboards for public sector healthcare clients at Magellan Health, with heavy emphasis on Tableau, QlikView/Sense, SQL, ETL tools, and data warehouse modeling.
Data Engineer supporting ETL processes, BI reporting, and data lake operations using SQL, Oracle, Tableau, Informatica, and SSIS, with on-call production support duties at a financial services firm.
Data Migration Lead About the Role We are working with a large, complex organisation undergoing a significant programme of technology transformation, including the introduction of new SaaS platforms, the consolidation…
Leads data stack modernization by migrating SQL Server models to Snowflake/AWS cloud, building scalable ELT pipelines with Python, Airflow, and DBT, ensuring data quality, and collaborating with stakeholders to deliver analytics solutions.
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