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Data Engineer IV designing, building, and maintaining ETL/ELT pipelines, dimensional models, and Neo4j graph database solutions (Cypher) to enable reliable, scalable data for business analytics and decision-making.
The Senior Data Engineer will design, build, and maintain scalable ETL/ELT pipelines and cloud-based data lakehouse architectures using AWS and Azure. This role involves collaborating with cross-functional teams to ensure data quality and support analytics, reporting, and AI-driven initiatives.
The Senior Analyst will design, develop, and maintain software and data pipelines within the NAB Innovation Centre. The role focuses on data engineering, cloud-based solutions, and CI/CD practices using technologies like Python, SQL, Databricks, and AWS/Azure.
ABOUT US With over 30 years of expertise, Apogee transforms how organisations of every size and sector manage their IT - delivering everything they need through one seamless point of contact. As an independent…
Meet the Team Webex Data Analytics Platform (WAP) engineering organization is responsible for developing the big data platform at Webex. The platform forms the base on which other teams, including the WAP team, develop…
The Reporting Fleet Business Analyst provides strategic and operational analytical support for the fleet organization by designing and maintaining PowerBI reporting solutions. The role involves transforming raw data into actionable insights, managing performance metrics, and collaborating with stakeholders to drive continuous improvement.
Job Description: The Manager, Sales Operations Business Intelligence has ownership of Mars Canada's cross segment DdasS and Data Lake assets. This role is responsible for developing necessary enhancements,…
The Lead Software Engineer will design and optimize large-scale ETL data pipelines and cloud-native data solutions using Python, PySpark, and AWS. This role involves managing modern data lake architectures and Snowflake environments while championing engineering best practices and AI-assisted development within a financial services context.
The Senior Platform Engineer will design, automate, and manage a cloud-native Azure environment, focusing on infrastructure as code, security, and supporting modern data platforms like Microsoft Fabric. This role involves leading technical projects and influencing cloud architecture within a transforming organization.
Role: Databricks Engineer Experience: 9-12 Years Location: ALL EXL Locations Work Mode: Hybrid Key Role and Responsibilities: Design, build, and maintain Databricks workspaces, clusters, and compute pools across…
Senior Manager – Customer Analytics (Corporate) About Sally Beauty Holdings, Inc. At SBH, our purpose is to inspire a more colorful, confident, and welcoming world. We are the leader in professional hair color, selling…
Designs secure, compliant AI ecosystems for Bank of America, establishing controls for governance, explainability, bias detection, and auditability across enterprise AI platforms.
Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a…
Designs, implements, and optimizes data analytics solutions using Microsoft technologies including Azure Synapse, Data Factory, Power BI, and SQL Server. Transforms complex data into actionable insights and supports decision-making processes.
Lead Data Engineer building and optimizing ETL/data pipelines on Azure (Data Factory, Databricks, ADLS Gen2, Synapse) using Python/PySpark, while mentoring a team and ensuring data quality and governance.
Senior DevOps Engineer builds, secures, and scales Microsoft cloud environments for a large pharma company, focusing on Azure, Microsoft 365, and Power Platform automation and governance.
Lead applied analytics, statistical modeling, ML/AI, and automation use cases across Technical Development at Gilead Sciences, partnering with scientists and IT teams to build decision-support capabilities using Python, R, LLM/GenAI, and knowledge graphs.
Lead enterprise-scale data modernization initiatives for Wells Fargo’s HR data platforms, designing cloud-native, AI-enabled architectures using PySpark, SQL, and Lakehouse principles to migrate legacy systems and enable advanced analytics.
Design, develop, and maintain enterprise-scale data warehouse, data lake, and lakehouse solutions using SQL, Python, and cloud platforms (AWS, Azure, GCP), building ETL/ELT pipelines for reporting, analytics, and AI/ML initiatives at a large bank.
Senior Data Analyst managing grants management data, reporting pipelines, and dashboards at a large health system using SQL, Snowflake, PowerBI, and ELT processes in a hybrid role.
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