Data Engineer creating data solutions and enabling informed decision-making at PwC. Focused on data infrastructure, pipelines, and mentoring junior team members.
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] is a plus
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
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