Data Engineer - Manager

About the role

PwC's data and analytics engineering team focuses on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Our managers play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

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 understand their data requirements and translate them into technical solutions
• Evaluate and recommend new data technologies and tools to enhance data architecture
• Build, maintain, and improve ETL/ELT pipelines for data ingestion, processing, and storage
• Manage data warehouses and data lakes, verifying data is organized and accessible
• Maintain and improve data quality rules leveraging DQ tools and/or other ETL/ELT tools
• Implement scalable data storage solutions using AWS, Azure, and GCP services
• Monitor and troubleshoot data pipelines, data warehouses, and workflows to ensure data quality, system reliability, performance, and cost management
• Implement IAM roles and policies to manage access and permissions within AWS, Azure, and GCP
• Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments
• Build and deploy DevOps pipelines using AWS, Azure, and GCP DevOps services
• Implement data security practices using AWS, Azure, GCP, Snowflake, or Databricks
• Improve cloud resources for cost, performance, and scalability
• Proficient 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
• Experience with machine learning and data science workflows
• Knowledge of data governance and data security practices
• Demonstrated analytical, problem-solving, and communication skills
• Ability to work independently and as part of a team in a fast-paced environment
• Ability to research emerging trends, analyze pertinent client, industry, and technical matters, and communicate effectively in written and verbal formats

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
• 5 years of experience

Qualifications

• 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
• Managing data warehouses and data lakes, verifying data is organized and accessible
• Maintaining and improving data quality rules leveraging DQ tools and/or other ETL/ELT tools
• Implementing scalable data storage solutions using AWS, Azure, and GCP services
• Monitoring and troubleshooting data pipelines, data warehouses, and workflows to ensure data quality, system reliability, performance, and cost management
• Implementing IAM roles and policies to manage access and permissions within AWS, Azure, and GCP
• Using AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments
• Building and deploying DevOps pipelines using AWS, Azure, and GCP DevOps services
• Implementing data security practices using AWS, Azure, GCP, Snowflake, or Databricks
• Improving cloud resources for cost, performance, and scalability
• Proficient 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
• Experience with machine learning and data science workflows
• Knowledge of data governance and data security practices
• Demonstrated analytical, problem-solving, and communication skills
• Ability to work independently and as part of a team in a fast-paced environment
• Ability to research emerging trends, analyze pertinent client, industry, and technical matters, and communicate effectively in written and verbal formats

Skills

• Analysis and identification of linkages and interactions between the component parts of an entire system
• Ownership of projects, ensuring successful planning, budgeting, execution, and completion
• Partnering with team leadership to ensure collective ownership of quality, timelines, and deliverables
• Developing and mentoring others to deepen expertise and deliver quality
• Addressing conflicts or issues, engaging in difficult conversations with clients, team members, and other stakeholders
• Upholding and reinforcing professional and technical standards, the Firm's code of conduct, and independence requirements

Benefits

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications, and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Pay

$99,000 - $232,000

Schedule

Full time