Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines. Hands-on production environment experience with distributed processing systems such as Spark.

Staff Data Engineering role - someone with hands on experience with cloud infrastructure, PySpark/Spark(strong), CICD, basic software engineering, data engineering, etc. As a Staff Data Engineer, candidate will be part of a Data Engineering team that is focused on making critical data at available to our business teams.

Hands-on production experience with orchestration systems such as Airflow. The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer.

We partner with our clients on advisory and strategy services and complete technical implementation capabilities focusing on data governance, change management, data intelligence, cloud and security, data engineering, visualization, and data science.

Overall 6+ years of hands-on experience in computer/software engineering with majority in big data engineering. Familiarity with data pipeline and workflow management tools (e.g., Airflow, DBT Kafka.

We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology.

We are seeking a Principal Product Manager, Data Products to join the Product Management team. Collaborate closely with business leaders to align data product strategy with overall business goals, encouraging a shared vision and consensus on priorities; then translate these priorities into actionable use cases and executable plans.

Hands-on development experience with Snowflake features such as Snow SQL; Snow Pipe; Python; Tasks; Streams; Time travel; Zero Copy Cloning; Optimizer; Metadata Manager; data sharing; and stored procedures.

We are looking for a Murex Analyst with a specialized focus on data quality and risk model validation. Utilize hands-on experience in stress testing, Value at Risk (VaR), Fundamental Review of the Trading Book (FRTB), time series analysis, and financial instrument valuation.

Certifications with Azure Data Engineer, Azure AI Engineer or equivalent industry certifications. Expertise in two or more data estate workloads like Microsoft’s Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB, Azure SQL, HDInsight, etc.

Use market, risk, and performance tools such as Barra Portfolio Manager/Barra risk models, FactSet, Bloomberg, and Aladdin on a daily basis. Familiarity with market data and risk tools (i.e., Barra Portfolio Manager, BarraOne, Barra equity factor risk models, FactSet, Bloomberg, Aladdin.

Strong knowledge of data management concepts, data modeling, and database technologies. Position Summary: The Senior Manager of Data Analytics predominately uses a tech stack of Power BI, SQL, Visual Studio Code, Snowflake, and Excel to answer questions to data that is ETL’d from our ERP, CRM, and various internal and external data sources.

Performs functions as both coding data quality auditor/educator and is responsible for providing oversight on education and audits of medical records in compliance with federal coding regulation and guidelines.

Enters data and assists with compiling reports and analysis on the grievance and appeals process. Minimum three years progressive professional experience in health care, including a minimum of two years in a grievance and appeals or related area such as medical or utilization management required.

Significant experience implementing advanced data and analytics solutions on a modern data platform (e.g., Dremio, Databricks, Snowflake) Please elaborate candidate's experience in implementing advanced data and analytics solutions on a modern data platform (e.g., Dremio, Databricks, Snowflake.