Top Data & Analytics Jobs

This role involves supporting the modeling team by gathering and aggregating data, cleaning and transforming data, and designing ETL pipelines for improved data workflows.

The Data Engineer will design, develop, and maintain ETL/ELT data pipelines, leveraging PySpark and Databricks to process large datasets, ensuring data quality, reliability, and performance optimization.

This role involves designing, developing, and executing ETL test cases and SQL queries, analyzing test results, tracking defects, and collaborating with developers. A strong SQL skill and familiarity with data warehousing, test management tools, cloud platforms, and reporting tools are essential.

The Qlik Sense Developer is responsible for data modeling, scripting, developing dashboards, ensuring UX, and optimizing performance while defining KPIs and managing security.

The Azure Data Engineer role involves visualizing and transforming data, requiring expertise in data engineering, Python, Pyspark, SQL, and Azure services.

Design and build scalable, secure data pipelines (streaming and batch), drive CI/CD and automation, participate in cloud migration and architecture discussions, collaborate with clients, and mentor internal teams to deliver production-grade data solutions.

Support a high-impact Fee Billing Remediation Project by analyzing client agreements, validating billing accuracy, executing remediation plans, and managing stakeholder communications.

The GCP Data Architect will lead data platform implementations, optimize data pipelines, mentor teams, and drive stakeholder alignment across various functions.

The Data Privacy Specialist supports data privacy initiatives, manages privacy-related queries, conducts assessments, and ensures compliance with privacy policies.

Lead a team of engineers in developing and migrating data services to GCP. Responsible for technical leadership, coding, and managing stakeholders while enhancing operating efficiency and ensuring quality assurance.