Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.

KPMG is currently seeking a Senior Associate, Data Engineering to join our Digital Nexus technology organization. This is a hybrid opportunity.

Responsibilities:

• Design and develop scalable data ingestion process to integrate data sources into cloud infrastructure; perform a variety of tasks related to the governance, management and maintenance of data, including but not limited to development of ETL workflows, metadata management and reporting
• Document data interfaces and data mappings; analyze and interpret data; develop business and technical requirement documents
• Design, build and maintain data pipelines with scalable transformations to ingest data to the Azure Data Lake; develop scripts for validation, maintenance & performance tuning
• Collaborate with Data Solution Lead, developers, architects, analysts and create technical design and propose solution approaches to meet business requirements.
• Leverage AI-assisted development tools to improve quality and accelerate delivery
• Assist project managers in creating effective and achievable project plans and secure acceptance and approval of deliverables from the project stakeholders
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
  
  

Qualifications:

• Minimum three years of recent experience in developing and implementing technology projects in complex organization with multiple stakeholders; MS Azure experience, including Databricks and Azure Data Factory is required
• Bachelor's degree from an accredited college or university is preferred
• Solid understanding of engineering, development, implementation and management of information technology solutions, data tools and platforms; knowledge of data management methodologies such as data warehouse, data lake, dimensional modeling, Slowly Changing Dimensions, and Change Data Capture.
• Proven experience with data manipulation and Extract, Transform, Load (ETL) using common languages like SQL and python/Pyspark for developing data pipelines as well as designing and implementing CI/CD processes
• Knowledge of version control systems like Git; relational databases like MSSQL and familiarity with ML and GEN AI Concepts
• Prior knowledge of Agile deliveries and project management methodologies; analytical, problem-solving, and decision-making skills; ability to identify patterns and generate ideas
• Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
  
  

KPMG LLP and its affiliates and subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work.

Follow this link to obtain salary ranges by city outside of CA:

https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=8148_9_26

KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.