Summary:
The client is seeking a Data Engineer with strong analytical, communication, and project management skills to join our team. This role will be a key member of the Kuiper Enterprise Engineering team. Working closely with business stakeholders, software development engineers, and business intelligence engineers, you will design, evangelize, and implement state-of-the-art solutions that help us provide a great customer experience. You will work with a complicated data environment, employ the right architecture to handle data, and support various analytics use cases including business reporting, production data pipeline, optimization models, statistical models, and simulations.
The ideal candidate has outstanding analytical abilities, excellent communication skills, a good business understanding, and is technically savvy. They are an analytical problem solver who enjoys diving into data, is excited about solving ambiguity problems, can multi-task, and can interface between technical teams and business stakeholders.
Must have skills for this role:
- Infrastructure as code (preferably AWS CDK/CloudFormation)
- Developing and maintaining data lake and data warehouse environments
- AWS IAM based access controls
- Deploying and managing servers and server-less analytics stacks
- Deploying and maintaining a self-hosted Airflow environment
- Data pipeline design, implementation, and maintenance
- Apache Spark
Compensation:
The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on several factors, including but not limited to, a candidate’s qualifications, skills, competencies, experience, location and end client requirements).
Benefits and Ancillaries:
Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions.