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Technical Lead I, Data Engineering

• *Business Title:** Technical Lead I, Data Engineering• *Requisition Number:** 119933 - 76• *Function:** Business Support Services• *Area of Interest:**• *State:** PA• *City:** Harrisburg• *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, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.KPMG is currently seeking a Technical Lead I, Data Engineering to join our Digital Nexus technology organization. This is a remote work opportunity.Responsibilities:+ Accountable for managing and supporting projects as well as tasks of various sizes across multiple applications/technologies and related process+ Transform architectural and business concepts and requirements into robust technology designs and engineering configurations to deliver sustainable solutions for data management and analytics areas+ Design, Build and maintain data pipelines with scalable transformations which ingest data to the Azure Data Lake+ Facilitate and oversee the technical design and development of technology solutions through the entire project lifecycle to ensure business needs are met+ Collaborate with developers, architect, analyst and develop best technical design and propose solution approaches; serve as a conduit between the business stakeholders and platform engineering team while building relationships and buy-in from critical internal and external domain stakeholders+ Contribute to the creation of standardized process and best practices; keep abreast of latest trends in technology, industry and corresponding business domainQualifications:+ Minimum five years of recent experience in developing and implementing large 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+ Deep understanding of the engineering, development, implementation and management of information technology solutions, data tools and platforms; strong knowledge of data management methodologies such as data architecture, data governance, data modeling, BI/Analytics, and more+ Experience with data manipulation and Extract, Transform, Load (ETL) using common languages like SQL and python; demonstrated experience across the systems development life cycle in all project phases; plan, initiate, analyze, design, build, test, implement, operate+ Knowledge of Agile deliveries and project management methodologies; strong analytical, problem-solving, and decision-making skills; ability to identify patterns and generate ideas+ Excellent verbal and written communication skills; fit with KPMG culture and company values such as integrity, excellence, courage, together, for better, has a 'can-do' attitude, and positive viewpointKPMG 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, the firm 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 the firm publishes a calendar of holidays to be observed during the year and provides two firmwide 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 (https://www.kpmguscareers.com/why-kpmg/#benefits) '.Follow this link to obtain salary ranges by city outside of CA:https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=6701\_9\_24KPMG 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).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.• *GL:** 4• *GF:** 15310
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What You Should Know About Technical Lead I, Data Engineering, KPMG

KPMG is inviting innovative thinkers to join our Harrisburg, PA team as a Technical Lead I, Data Engineering. At KPMG, we pride ourselves on fostering an inclusive culture where every individual’s development is embraced. As part of the Digital Nexus technology organization, you'll play a vital role in spearheading projects that translate architectural concepts into actionable technology solutions. In this position, you’ll design and maintain data pipelines while leveraging Azure Data Lake for cutting-edge data management and analytics. Collaboration is key, as you'll work alongside developers, architects, and analysts to ensure our projects meet business needs and adhere to best practices. With at least five years of experience in large-scale technology projects under your belt and a robust understanding of data management methodologies, you’ll be ready to tackle challenges head-on. Your expertise in MS Azure, particularly Databricks and Azure Data Factory, combined with your knowledge of SQL and Python, will help transform our data capabilities. Join KPMG, and be part of a culture centered on integrity, excellence, and innovation. We're not just another company; we’re a community striving for better, driven by passion, purpose, and the desire to make a meaningful impact in the world of data engineering.

Frequently Asked Questions (FAQs) for Technical Lead I, Data Engineering Role at KPMG
What are the main responsibilities of a Technical Lead I, Data Engineering at KPMG?

As a Technical Lead I, Data Engineering at KPMG, your key responsibilities include managing and supporting projects across various applications and technologies, transforming architectural and business requirements into effective technology designs, and facilitating the development of technology solutions throughout the project lifecycle. You'll also be tasked with designing and maintaining scalable data pipelines using Azure Data Lake, collaborating with technical teams and stakeholders to ensure alignment with business needs.

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What qualifications do I need to qualify for the Technical Lead I, Data Engineering role at KPMG?

To qualify for the Technical Lead I, Data Engineering role at KPMG, candidates should have a minimum of five years of recent experience in developing and implementing technology projects in complex environments. Essential qualifications include hands-on experience with MS Azure, particularly Databricks and Azure Data Factory, along with a solid understanding of data management methodologies. A Bachelor's degree is preferred, and proficiency in SQL and Python for data manipulation is also necessary.

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How does KPMG support the professional development of its Technical Lead I, Data Engineering employees?

KPMG is dedicated to the professional development of its Technical Lead I, Data Engineering employees by fostering an inclusive environment that rewards innovation and excellence. The firm offers numerous training programs, mentorship opportunities, and resources to help you keep up with the latest technology trends and best practices, ensuring that you have the tools and support you need for continuous growth.

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Can you explain the work culture at KPMG for a Technical Lead I, Data Engineering?

The work culture at KPMG for a Technical Lead I, Data Engineering is defined by collaboration, integrity, and a strong emphasis on individual development. Employees are encouraged to share ideas, work together on projects, and foster relationships that are essential for driving innovation. KPMG also promotes a positive, can-do attitude and provides employees with comprehensive benefits and flexible work arrangements to maintain work-life balance.

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What programming skills are necessary for the Technical Lead I, Data Engineering position at KPMG?

The Technical Lead I, Data Engineering position at KPMG requires strong programming skills, particularly in SQL and Python, as these languages are commonly used for data manipulation and ETL processes. Familiarity with Azure Data Factory and Databricks is also essential, alongside a deep understanding of data management practices to successfully lead technology projects.

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Common Interview Questions for Technical Lead I, Data Engineering
What experience do you have with Azure Data Factory in your previous roles?

In answering this question, highlight specific projects where you've utilized Azure Data Factory. Discuss how you managed data ingestion and workflows, and elaborate on the challenges you faced and how you overcame them. Providing metrics or results from your project can also significantly enhance your answer.

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How do you ensure the quality and integrity of data in your projects?

Emphasize the importance of implementing robust data governance and validation protocols. Discuss methods you’ve applied to ensure data accuracy and consistency, such as automated testing or regular audits. Sharing specific incidents where you identified and resolved data quality issues would strongly support your response.

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Can you explain your experience with designing scalable data pipelines?

Describe the techniques and technologies you've utilized to design scalable data pipelines. Discuss how you approach identifying bottlenecks and enhancing performance, and share any specific architectures you've implemented that resulted in improved efficiencies or lower costs.

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What strategies do you use to communicate complex technical concepts to non-technical stakeholders?

Communication is key when partnering with non-technical stakeholders. Talk about your strategies, such as using visuals, analogies, and clear terminology. Providing examples of past experiences where you successfully presented complex data solutions can also illustrate your skills in this area.

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How do you stay updated with the latest trends in data management and engineering?

Mention your proactive approach to staying informed, such as following industry-leading blogs, participating in webinars, attending conferences, or being involved in professional forums. Emphasize how you apply new knowledge and trends in your work to enhance project outcomes.

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Describe a challenging project you’ve managed as a technical lead. What was your approach?

Select a challenging project and explain the context including the problems faced. Detail the steps you took, collaborative efforts, and strategies implemented to overcome obstacles. Highlight the end results or lessons learned that improved future projects.

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What methods do you use for project management in data engineering?

Discuss the project management methodologies you're familiar with, such as Agile or Scrum, and explain how you apply these to manage timelines, resources, and team collaboration in data engineering projects. Providing an example where you successfully delivered a project on time can support your answer.

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How do you prioritize tasks when managing multiple data engineering projects?

Explain your prioritization framework for tasks, such as assessing project impact, deadlines, and resource availability. Discuss tools or techniques you use, like prioritization matrices or Agile boards, to ensure effective task management across projects.

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How do you handle conflicts within your team?

Provide examples of past experiences where you've effectively managed team conflicts. Emphasize your communication skills and conflict resolution strategies, such as facilitating open discussions or using mediation techniques to ensure a collaborative team atmosphere.

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What does a successful data-driven project outcome look like to you?

Articulate your vision of a successful data-driven project, focusing on outcomes such as enhanced decision-making, actionable insights, improved efficiency, and stakeholder satisfaction. Provide examples from your experience that align with this vision.

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KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. With 75+ offices and more than 40,000 employees and partners through out the U.S., we’re leading the industry in ...

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Full-time, remote
DATE POSTED
December 20, 2024

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