Senior Data Engineer
Direct Hire
Hybrid - 3 days onsite in Chicago, IL and 2 days remote
Unable to provide sponsorship now or in the future
Our client is a growing private equity real estate firm located in Chicago, IL looking to expand their current data engineering team. They're looking to bring a Senior Data Engineer who is highly experienced in SQL and Python to build data pipelines/ETL as well as creating visualizations using BI tools. This person will be working on a variety of data & analytics projects for process improvement and business stakeholders.
Duties And Responsibilities:
- Work with a collaborative team of 3 to build out various data solutions for the organization (VP of Data & Analytics, Data Engineer, & Jr Data Engineer)
- Implement, manage and create reliable data pipelines for projects centered around process optimization, automation of manual processes, and FP&A needs etc.
- Utilize various data engineering technologies such as SQL, Python, NiFi, Airflow, RabbitMQ, dbt etc.
- Communicate highly technical solutions to business stakeholders as needed.
- Identify, implement and manage efficient data pipelines.
- Identify and implement operational efficiencies through automation and/or integration using Python or similar tools.
- Create visualizations using BI tools such as Power BI & present/communicate directly with business stakeholders.
- Maintaining high quality data documentation to enable data accessibility to users.
- Providing ad hoc analytical support and analyses to support strategic decision making.
Qualifications
- Bachelor's Degree in Computer Science, Information Systems, Data & Analytics or a related field
- Advanced knowledge in SQL and Python (4+ years)
- Ability to communicate effectively and work with business stakeholders
- Extensive experience in ETL and creating data pipelines
- Experience working with cloud technologies (Azure, AWS or GCP)
- Experience creating visualization using BI tools (Power BI, Tableau or similar)
- Familiarity with ML / Data Science methodologies