Data Analytics & Insights Managed Service - Enhancement Data Engineer - Senior Associate

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

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:

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

The Opportunity

As part of the Data and Analytics team, you will own the applications related to AWS, Azure Data Factory, Snowflake etc applications. As a Senior Associate, you will analyze complex problems, mentor others, and maintain exemplary standards while building meaningful client connections and navigating increasingly complex situations. This role offers the chance to lead a top-performing team of data engineers, drive collaboration with stakeholders, and enhance your technical proficiency in a dynamic environment.

Responsibilities

• Oversee applications related to AWS, Azure Data Factory, Snowflake etc.
• Analyze intricate issues and provide actionable insights
• Mentor and guide junior team members in technical skills
• Foster collaboration with stakeholders to achieve project goals
• Drive the development and enhancement of stored procedures
• Expand technical knowledge in a fast-paced environment
• Build and maintain sturdy relationships with clients
• Navigate complex scenarios to deliver impactful solutions

What You Must Have

• Bachelor's Degree
• At least 8 years of experience in data engineering/data warehousing concepts

What Sets You Apart

• Bachelor's Degree in Computer Science, Information Technology preferred
• Proven experience in managing teams and mentoring
• Proven experience with AWS, Azure Data Factory, Snowflake etc
• Familiarity with Python and BI reporting tools
• Knowledge of data integration workflows and ETL processes
• Understanding of DataOps practices and Agile methodologies
• Experience with ITSM tools like ServiceNow
• Domain experience in healthcare

Travel Requirements

Up to 40%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. 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

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles'' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.