Senior Enterprise Data Engineer

TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers’ compensation insurance. 
 
TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you’re passionate about innovation and making an impact on the large SMB market, come join us as we power our clients’ business success with extraordinary HR. 

Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single requirement. At TriNet, we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, we encourage you to apply anyways. You may just be the right candidate for this or other roles. 

JOB SUMMARY
The Sr Enterprise Data Engineer will build, manage and optimize data pipelines and move these data pipelines effectively into production for key data and analytics consumers like business/data analysts, data scientists or any business partner that needs curated data for data and analytics use cases across the enterprise.

This role will be the key interface in operationalizing data and analytics on behalf of the business unit(s) and organizational outcomes and will require both creative and collaborative working with IT and the wider business. It will involve evangelizing effective data management practices and promoting better understanding of data and analytics. The data engineer will also be responsible for planning and implementing the best analytics and data science solutions utilizing a variety of technologies, including on-premises and cloud provider services (AWS or Azure), in collaboration with important business partners and IT specialists.

Essential Duties/Responsibilities
•    Create, maintain, and optimize data pipelines from development to production for specific use cases.
•    Use innovative and modern tools, data services, techniques, and well architected frameworks to automate the most-common, repeatable and tedious data preparation and integration tasks partially or completely to minimize manual and error-prone processes and improve productivity.
•    Assist with renovating the data management infrastructure to drive automation in data integration and management.  

This will include (but not be limited to):    
•    Learning and using modern data preparation, integration and AI-enabled metadata management tools and techniques.
•    Tracking data consumption patterns
•    Performing intelligent sampling and caching  
•    Optimizing data pipelines and managing day to day operations 
•    Recommending — or sometimes even automating — existing and future integration flows. 
•    Collaborate in close relationship with value stream teams on the initiatives in refining their data requirements for various data and analytics initiatives and their data consumption requirements.   
•    Build, model and curate data lake/warehouse and other data consumption methods. 

Required for All Jobs
•    Performs other duties as assigned
•    Complies with all policies and standards

QUALIFICATIONS
•   Bachelor's Degree in Computer Science/Engineering or equivalent experience - Preferred    

Work Experience
•   4+ years’ experience in implementation of Data & BI projects in a large-scale enterprise data lake/ warehouse environment - Required    
•   4+ years’ experience in ETL/ELT Architecture and hands-on experience in developing the ETL/ELT jobs using cloud native tools preferably AWS  - Required    
•   Working experience in SFDC and PeopleSoft in areas of Sales, Marketing, Finance, or Support domains will be a plus        
•   Knowledge or experience in working with Cloud data warehouses like Snowflake, AWS Redshift.
•   Working experience with Python, PySpark and comparable technologies with focus on building scalable solutions.        
•   Good dimensional modelling, data warehousing and data analysis skills with expertise in at least one reporting tool like Tableau/PowerBI        
•   Hands on experience with database performance tuning like Oracle, Postgres and strong database languages like SQL, PL/SQL, ANSI SQL, Python, Un