PwC · 22 hours ago
Data Engineer - Manager
PwC is a leading professional services firm that focuses on providing data and analytics engineering solutions. The role involves designing and developing data infrastructure and systems, leading a team, and ensuring compliance with data governance policies.
AccountingBusiness DevelopmentConsultingFinanceFinancial ServicesTax Consulting
Responsibilities
Design and implement thorough data architecture strategies
Lead the development of data models
Achieve compliance with data governance policies
Collaborate with business stakeholders to translate data requirements
Build and enhance ETL/ELT pipelines
Manage data warehouses and data lakes
Implement data security leading practices
Foster a culture of data-driven decision making
Qualification
Required
Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics
5 years of experience
Preferred
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, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus
Designing and implementing thorough data architecture strategies that meet the current and future business needs
Developing and documenting data models, data flow diagrams, and data architecture guidelines
Verifying data architecture is compliant with data governance and data security policies
Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions
Evaluating and recommending new data technologies and tools to enhance data architecture
Building, maintaining, and improving ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data processing
Building, maintaining, and improving Data Quality rules leveraging DQ tools and/or other ETL/ELT tools
Developing and deploying scalable data storage solutions using AWS, Azure and GCP services such as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc
Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services
Designing and managing data warehouses and data lakes, verifying data is organized and accessible
Monitoring and troubleshooting data pipelines, data warehouses and workflows to verify data quality, system reliability, performance and cost management
Implementing IAM roles and policies to manage access and permissions within AWS, Azure, GCP
Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments
Use AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines
Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks
Improving Cloud resources for cost, performance, and scalability
Proficiency in SQL and experience with relational databases
Proficient in programming languages such as Python, Java, or Scala
Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus
Experience with machine learning and data science workflows is a plus
Knowledge of data governance and data security practices
Demonstrating analytical, problem-solving, and communication skills
Having the ability to work independently and as part of a team in a fast-paced environment
Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures
Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback
Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment
Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance
Benefits
Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave
And more
Company
PwC
At PwC, we help clients drive their companies to the leading edge.
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
Apparel Impact Institute
2023-09-19Grant
Leadership Team
Recent News
PR Newswire
2026-02-03
yicaiglobal.com
2026-01-22
Company data provided by crunchbase