Python Data Engineer

Company Description

Logic20/20 invests in being a “Best Company to Work For,” where talented people come together to deliver exceptional solutions. We bring clarity, insights, and optimization to enterprise organizations spanning technology, telecommunications, utilities, healthcare, and more. 

We thrive as One Team, built on values: 

• We Foster a Culture of We by prioritizing connection and collaboration.  
• We Drive toward Excellence by investing in professional growth and cultivating thought leadership.  
• We Act with Integrity by doing the right thing and bringing our best selves to the table.  

To make it all possible, we’ve created programs, resources, and benefits that promote connection and help you evolve your career. 

Job Description

We are looking for a Data Engineer to join our Advanced Analytics practice to work on interesting projects to help our clients scale their data solutions to make data-driven decisions.   

As a Data Engineer, you’ll work closely with the client to understand both their business processes and analytics needs to design and build data pipelines and cloud data solutions. You will have the opportunity to guide your client through best practices in data lake, data processing, and data pipeline design to help them achieve their business goals. 

You will collaborate with your team including analysts, dashboard developers, and technical project managers to design solutions and work together to deliver a world-class solution.   

The ideal candidate will have the balance of technical skills and business acumen to help the client better understand their core needs while understanding technical limitations.   

About you:

• Collaborative partner who can patiently communicate at the appropriate level to both business and technology teams to understand business needs and pain points
• Creative in meeting the client’s core needs with their technology  
• Determined and able to manage obstacles while maintaining a positive outlook 
• Self-driven lifelong learner passionate about learning new data tools and best practices  

What we offer our consultants:   

• Working on challenging, impactful projects that push the edge of technology 
• Experience working with both large enterprise clients and mid-sized clients  
• Progressive responsibilities that encourage ownership and practice leadership  
• Opportunity to learn and gain experience in complimentary skills such as meeting facilitation, big data processing, project management, data science, and visual analytics  
• Training and certification opportunities to support your career now and after Logic20/20  
• Various opportunities to give back to the community through company-sponsored events  

About the Team 

The Logic20/20 Advanced Analytics team is where skilled professionals in data engineering, data science, and visual analytics join forces to build simple solutions for complex data problems. We make it look like magic, but for us, it’s all in a day’s work. As part of our team, you’ll collaborate on projects that help clients spin their data into a high-performance asset, all while enjoying the company of kindred spirits who are as committed to your success as you are. And when you’re ready to level up in your career, you’ll have access to the training, the project opportunities, and the mentorship to get you where you want to go. 

“We build an environment where we really operate as one team, building up each other’s careers and capabilities.” – Adam Cornille, Senior Director, Advanced Analytics 

Qualifications

Must Have:

• 5+ years of data engineering experience 
• Strong experience designing and developing ETL and data pipelines with Python
• Experience working with AWS Data Analytics stack: Amazon Athena, AWS Glue, etc.
• Experience working with businesses to understand the appropriate data model (relational, tabular, transactional) for their data solution 
• Understanding of data modeling (such as Kimball, Inman, Data Vault design approaches)  
• Excellent foundation of consulting skills: analytical, written and verbal communication, and presentation skills 
• Demonstrated ability to identify business and technical impacts of user requirements and incorporate them into the project schedule   
• Deep experience designing and building ELT jobs to move and transform data from various source types and performing exploratory data analysis, data cleansing, and aggregation 

Preferred:

• Experience with Terraform, Star schema, and PySpark
• Experience working in the utility industry

Additional I