Data Integration Engineer at DivIHN Integration Inc

DivIHN (pronounced “divine”) is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.

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Title: Data Integration Engineer
Location: Deerfield, IL
Duration: 5 Months

Job Description :

Job Summary:
We are seeking a highly skilled and motivated Full Stack Developer to join our team at Client. As a Full Stack Developer, you will be responsible for creating the pipelines and endpoints that expose data to the enterprise. This position requires a strong background in Python, SQL, Unix, Docker, and RESTful services.

Key Responsibilities:
* Design and implement data pipelines using Python, SQL, and Unix to ensure data quality and integrity.
* Work with Docker to containerize data pipelines and ensure scalability and portability.
* Develop and maintain RESTful services to provide secure and efficient data access to stakeholders.
* Collaborate with cross-functional teams to gather requirements and integrate data analytics into business operations.
* Ensure data privacy and security by implementing appropriate controls and protocols.

Requirements:
* Bachelor's degree in Computer Science, Data Analytics, or a related field.
* At least 3 years of experience in endpoint development or data engineering.
* Strong background in Python, Flask, gUnicorn, SQL, and Unix.
* Experience with Redis, Docker, and RESTful services is highly desirable.
* Experience with UI/UX, Javascript, Node.js or equivalent.
* At least 3 years of experience in AWS, Azure, or equivalent cloud computing platform.
* Strong understanding of data privacy and security principles.
* Excellent communication and collaboration skills.
* Ability to work in a fast-paced environment and adapt to changing priorities.
* Strong problem-solving skills and ability to think critically.

Preferred Qualifications:
* Master's degree in Computer Science, Data Analytics, or a related field plus 5 years of experience.
* Bachelor's degree in Computer Science, Data Analytics, or a related field plus 8 years of experience.
* Experience with machine learning and predictive modeling.
* Certified in AWS.
* Experience with data visualization tools such as Tableau or Power BI.
* Certification in data analytics or a related field is a plus.

About us:

DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.

DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.