Manager, Data Engineer

Business Title: Manager, Data Engineer

Requisition Number: 97081 - 92

Function: Business Support Services

Area of Interest:

State: TX

City: San Antonio

Description:

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, Working Mother Magazine, Diversity Inc. and others. If you're as passionate about your future as we are, join our team.

KPMG is currently seeking a Manager, Data Engineer to join our Growth and Strategy organization.

Responsibilities:

• Assess, capture and translate complex business issues and solution requirements into structured technical tasks for the data engineering team, including rapid learning of industry standards and development of effective work stream plans

• Work on the development of big data analytics and cloud-based applications to facilitate the work of data scientists and application developers

• Design, build, launch, optimize and extend full-stack data and business intelligence solutions spanning extraction, storage, complex transformation and visualization layers

• Support big data environments that enable analytics solutions on a variety of big data platforms including assessing the usefulness of new technologies and advocating for their adoption

• Serve as the primary point of contact for question and escalations related to data architecture and solutions applicable to business problems or use cases

Qualifications:

• Minimum five years of experience working as a data engineer with Advanced SQL skills; strong analytical, data profiling and problem-solving skills

• Bachelor's degree from an accredited college/university in a numerate subject such as Computer Science, Mathematics, Electrical Engineering, Statistics, or Science or equivalent practical experience

• Experience creating and maintaining ETL/ELT pipelines that operate on a variety of sources such as APIs, FTP sites, cloud-based blob stores, databases including relational and non-relational, unstructured data

• Hands-On experience with Microsoft data and analytics platform such as Azure Data Factory, Microsoft SQL Server, Azure SQL Database, Azure SQL Managed Instance, Azure Cosmos DB, Azure Synapse Analytics, Azure Databricks

• Experience with SDLC methodologies, particularly Agile and project management tools, preferably Azure DevOps

• Experience working with operational programming tasks, such as version control, CI/CD, testing and quality assurance

KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-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 ( https://assets.kpmg.com/content/dam/kpmg/us/pdf/2018/09/eeo.pdf) contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site). /

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