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Lead data engineer building and supporting ETL/ELT pipelines, Oracle data warehouse solutions, and risk/regulatory reporting platforms for banking clients using Oracle, SQL/PLSQL, ODI, Python, and DataIKU.
Data Engineer on Cisco's Enterprise Data Foundation telemetry team, building and optimizing scalable data pipelines with Snowflake, Python, and AWS services to stream product telemetry and enable analytics across Cisco's enterprise portfolio.
Full-stack developer building responsive React front-ends and ASP.NET back-ends with SQL Server for U.S. Navy Reserve business systems, deployed via Azure DevOps CI/CD pipelines on AWS/Azure cloud platforms.
WHO WE ARE: As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From…
Designs scalable, governed data architectures for Wilmington Trust’s Institutional Services to integrate disparate systems, reduce operational risks, and support digital transformation. Focuses on cloud-ready, multi-cloud solutions with strong governance, compliance, and cross-team collaboration.
Job Description: About Us 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…
The Associate Architect will design and implement data pipelines and hybrid data solutions on Azure, utilizing technologies like Spark, Databricks, and Snowflake. The role involves building ML workflows, managing data migrations, and collaborating with cross-functional teams to modernize data architectures.
Job Description: The Senior Manager, Finance Analytics & Insights will be based in Hyderabad, India . In this position, you will report to the MEIAT Controller . The Senior Manager, Finance Analytics & Insights…
The Senior Analytics Engineer manages the data product portfolio, including BI dashboards and automated monitoring, while collaborating with stakeholders to deliver actionable insights. The role requires expertise in SQL, cloud data platforms, and BI tools to support data-driven decision-making within a healthcare environment.
The Senior Data Engineer will design and maintain data models, BI dashboards, and data warehouse infrastructure while ensuring data security and quality across business units. The role involves managing ETL processes, automating data requests, and supporting reporting needs using Big Data and BI technologies.
The Data Engineer will design and build scalable data infrastructure, pipelines, and transformation solutions to support client analytics. The role involves using tools like Apache Airflow, Azure Data Factory, Snowflake, and Databricks to manage data workflows and ensure data quality.
Analytics Engineer on a 6-month contract owning dbt models end-to-end, building data marts, migrating Tableau semantic logic into dbt, and improving data warehouse performance using DBT Core/Cloud, BigQuery, and SQL.
Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger. We’re a company of people who like to forge our own path and leave the world better than we found it. Who believe…
Leads Azure Synapse Analytics migrations to Microsoft Fabric, designing data pipelines, optimizing performance, and ensuring governance across cloud-based data solutions.
Power BI Developer responsible for report development, data modeling, and dashboard creation using Power BI, DAX, and Microsoft BI stack. Works with data sources, implements security, and collaborates with clients to deliver business intelligence solutions.
The Senior Software Engineer will design and maintain scalable data warehouse solutions and pipelines for Elsevier's Sales & Marketing analytics team. The role involves using Snowflake, DBT, and AWS to build data products while mentoring team members and integrating AI-assisted development practices.
Designs and implements enterprise-scale data platforms using Databricks/AWS, builds data lakes and analytics solutions, and crafts long-term data strategies for clients.
This role is a senior data engineering leadership position responsible for architecting and managing large-scale, high-throughput batch and real-time data pipelines. The candidate will lead a global team while utilizing technologies such as Apache Spark, Databricks, Scala, and Python to build robust data platforms.
In this AVP-level role, you will be responsible for designing, implementing, and maintaining automated testing frameworks for AI systems. You will validate model accuracy, data pipelines, and software integrations to…
The Data Scientist will partner with business units to solve complex problems by building AI agents, machine learning models, and data pipelines. The role utilizes tools like Google Looker, BigQuery, and the Gemini Enterprise Agent Platform to deliver actionable insights.
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