Data Engineer- People Analytics

Description

The Role:

We are seeking a highly skilled and experienced Data Engineer to join our HR Data and Analytics Team. As an Experienced Data Engineer, you will play a crucial role in enabling analytics across the HR organization, empowering data-driven decision-making. The qualified candidate will be able to create and maintain data pipelines, build data models, and optimize databases for delivery performance analysis, and evaluate the integrity, quality, and reliability of data outputs and outcomes.

The successful applicant will have an in-depth understanding of Data Engineering and programming, experience in managing and working with large datasets, and the ability to collaborate effectively with cross-functional teams. To be successful in this role, you should have excellent technical skills, be a creative problem-solver and have a passion for transforming data into meaningful insights. Above all, you should be a team player with excellent communication skills. 

What You'll Do:

• Perform hands on development to enable analytics across the HR organization and empower data-driven decision-making.
• Drive implementation of robust data pipelines, ensuring data quality, reliability, and security for on-prem and Azure cloud solutions.
• Develop pipelines and testing automation to ensure HR data quality and integrity across multiple data sources
• Sharing your insights and best practices and providing constructive and supportive feedback.
• Stay up to date with emerging trends and advancements in Data Engineering – both technically and in the HR and People Analytics/sciences domain

Your Skills & Abilities (Required Qualifications)

• Bachelor’s or master’s degree in computer science, Information Technology, or a related field
• 3 years of hands of experience in HR Data Engineering role
• Big Data Tools: Kubernetes (K8s), Hadoop, Spark, Postgres, Databricks, Azure cloud offerings including (Azure Synapse, ADLS, Azure Functions)
• Good understanding of HCM data architecture, models and data pipelines
• Experience designing and implementing data integrations and ETLs with Workday (RaaS, APIs)
• Experience with Databricks platform - DLT Streaming Pipelines, Workflows, Notebooks, DeltaLake, Unity Catalog, Dashboards
• Proficient with querying relational databases and/or Hadoop (expertise with SQL, Hive, Python, etc.)
• Familiar with implementing various sourcing methods (File, SOAP and REST APIs, etc.)
• Experience in implementing CI/CD pipelines using tools such as ADO, GitHub, etc.
• Experience performance tuning queries
• Experience sourcing into large data warehouses
• Must be a self-starter.
• Willingness to learn new skills and methods as needed – continuous learning mindset.
• Experience in large scale data integration implementations
• Understanding of handling SPI Data (Sensitive Data)
• Strong problem solver with ability to evaluate a challenge and understand solution patterns.
• Implementing scalable solutions
• Ability to work with multiple teams across functions and domains within GM; Collaborate and resolve tasks and priorities aligned as a team
• Familiar with Agile Philosophies and Tools

What Will Give You A Competitive Edge (Preferred Qualifications)

·       Azure certification

·       Familiar with Encryption methods and Tools (GPG, Voltage, etc)

·       Experience with different authentication methods (Basic Auth, Oauth, etc)

Additional Description

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. PLEASE DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.

Compensation:

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

The salary range for this role is $110,200 to $176,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

• This job may be eligible for relocation benefits.

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About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

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From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. 

Diversity Information

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers.  We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire

Equal Employment Opportunity Statement (U.S.)

General Motors is proud to be an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.  

Accommodations (U.S. and Canada)

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