RESUME AND JOB
PwC
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
The Opportunity
As part of the Data and Analytics Engineering team you will design and implement innovative data solutions that drive business insights. As a Senior Associate you will analyze complex problems, mentor junior team members, and build meaningful client relationships while navigating the intricacies of data architecture and management. This role offers a unique opportunity to deepen technical knowledge and enhance your personal brand in a dynamic and collaborative environment.
Responsibilities
- Mentor and guide junior team members in their development
- Navigate the complexities of data architecture and management
- Utilize a variety of methodologies to generate insights
- Contribute to the overall success of the Data and Analytics Engineering team
What You Must Have
- Bachelor's Degree
- At least 3 years of experience
What Sets You Apart
- Bachelor's Degree in Computer and Information Science, Management Information Systems, Software App preferred
- Having extensive experience with RDBMS (SQLServer, Azure SQL, PostgreSQL), NoSQL (MongoDB) and/or other database technologies (Couchbase, Neo4j)
- Analyzing and building data models and transformation routines
- Recognizing patterns in data relationships across systems
- Developing and documenting ETL and data integration processes
- Creating scalable data integration solutions using iPaaS tools
- Addressing performance and data quality issues
- Conceptualizing Azure infrastructure and design architecture
- Having an understanding of ODS, data warehouse, data mart, and data cube, and database technologies
- Demonstrating knowledge of data analytics and visualization tools
77,000 - 202,000 USD / yearly
Up to 40%
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PwC
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
The Opportunity
As part of the Data and Analytics Engineering team you will design and implement innovative data solutions that drive business insights. As a Senior Associate you will analyze complex problems, mentor junior team members, and build meaningful client relationships while navigating the intricacies of data architecture and management. This role offers a unique opportunity to deepen technical knowledge and enhance your personal brand in a dynamic and collaborative environment.
Responsibilities
- Mentor and guide junior team members in their development
- Navigate the complexities of data architecture and management
- Utilize a variety of methodologies to generate insights
- Contribute to the overall success of the Data and Analytics Engineering team
What You Must Have
- Bachelor's Degree
- At least 3 years of experience
What Sets You Apart
- Bachelor's Degree in Computer and Information Science, Management Information Systems, Software App preferred
- Having extensive experience with RDBMS (SQLServer, Azure SQL, PostgreSQL), NoSQL (MongoDB) and/or other database technologies (Couchbase, Neo4j)
- Analyzing and building data models and transformation routines
- Recognizing patterns in data relationships across systems
- Developing and documenting ETL and data integration processes
- Creating scalable data integration solutions using iPaaS tools
- Addressing performance and data quality issues
- Conceptualizing Azure infrastructure and design architecture
- Having an understanding of ODS, data warehouse, data mart, and data cube, and database technologies
- Demonstrating knowledge of data analytics and visualization tools
77,000 - 202,000 USD / yearly
Up to 40%
Get personalized recommendations to optimize your resume specifically for Data Engineer - Senior Associate. Takes only 15 seconds!
Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

No related jobs found at the moment.
© 2026 Pro Partners. All rights reserved.