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Company

Original Job Post

PwC · 3 days ago

Cloud Data & Analytics Implementation Senior Associate

Louisville, KY

Full-time

Onsite

Senior Level

4+ years exp

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AccountingBusiness Development

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Responsibilities

Use feedback and reflection to develop self-awareness, personal strengths and address development areas.

Delegate to others to provide stretch opportunities, coaching them to deliver results.

Demonstrate critical thinking and the ability to bring order to unstructured problems.

Use a broad range of tools and techniques to extract insights from current industry or sector trends.

Review your work and that of others for quality, accuracy and relevance.

Know how and when to use tools available for a given situation and can explain the reasons for this choice.

Seek and embrace opportunities which give exposure to different situations, environments and perspectives.

Use straightforward communication, in a structured way, when influencing and connecting with others.

Able to read situations and modify behavior to build quality relationships.

Uphold the firm's code of ethics and business conduct.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AWS/Azure/GCP CertificationSnowflake CertificationETL/ELT Tool CertificationCloud Data ArchitecturesData Integration PatternsInfrastructure as CodeData Warehousing ConceptsBig Data EngineeringETL Pipeline DevelopmentFile/Object-based Storage SolutionsSQLVisualization ToolsPython/Spark ProgrammingWorkflow AutomationScalable Data Warehouse SolutionsCI/CDCloud DevOpsContainers (Kubernetes/Docker)Insurance Data KnowledgeKPI UnderstandingP&C/L&A Insurance Industry ExperienceProfessional Services KnowledgeTeam LeadershipTeam Collaboration

Required

Minimum Degree Required Bachelor Degree

Minimum Years Of Experience 4 year(s)

Certification in one of the following cloud platform - AWS/Azure/GCP

Certification in Snowflake

Certification in any ETL/ELT tool

Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers - AWS, Azure, GCP;

Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks,Snowflake etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform);

Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas);

Applying knowledge and relevant work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development tools (tools: IICS/AWS Glue/Matillion/Abinitio SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse;

Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3;

Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos

Programming using Python/Spark

Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse;

Support cross-functional teams to understand their workflow and automation needs.

Design and develop scalable data warehouse solutions that meet the organization’s data storage, retrieval, and analysis requirements.

Understanding and familiarity of one or more is a big plus - CI/CD, cloud devops, containers (kubernetes/Docker, etc.);

Understanding of insurance data, underlying KPIs and how they are used; and,

Demonstrating prior P&C/L&A Insurance industry experience.