Key skills
Data architectureData modelingData flow diagramsData governanceData security policiesETL pipelinesELT pipelinesAWSAzureGoogle Cloud PlatformAWS GlueAWS LambdaAzure Data FactoryAzure FunctionsGCP FunctionsGCP DataprocGCP DataflowCloud platform certificationsClient relationship buildingETLELTAnalyticsSnowflakeDatabricksGCPLambdaGlueMentoring
About this role
PwC is a leading professional services firm specializing in advisory services, and they are seeking a Senior Associate for their Data and Analytics Engineering team. The role involves designing and implementing data architecture strategies, analyzing complex issues, mentoring junior team members, and building client relationships to drive informed decision-making and business growth.
Responsibilities:
- Designing and implementing thorough data architecture strategies
- Analyzing complex issues to create innovative solutions
- Mentoring and guiding junior team members
- Upholding standards in project deliverables
- Building and maintaining client relationships
- Developing a thorough understanding of the business environment
- Managing and navigating complex scenarios effectively
- Enhancing personal brand and technical skills
Requirements:
- Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics
- 2 years of experience
- Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate]
- Designing and implementing thorough data architecture strategies
- Developing and documenting data models, data flow diagrams, and data architecture guidelines
- Maintaining data architecture compliance with data governance and data security policies
- Collaborating with business stakeholders to understand their data requirements
- Building, maintaining, and enhancing ETL/ELT pipelines for data ingestion, processing, and storage
- Developing and deploying scalable data storage solutions using AWS, Azure and GCP services
- Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow
- Enhancing Cloud resources for cost, performance, and scalability