For further inquiries regarding the following opportunity, please contact one of our Talent Specialist.
Meghna at (224) 369-4230
Nithiya at (224) 507-1292
Job Title : Data Engineer - ETL / ELT & Database Management - Remote
Location : Remote
Duration : 12 Months with possibility of extension
Potential to Convert to full time
It is a completely remote role, sometimes needs to work in the PST time zone, so the candidate should be comfortable working in that Shift Timing- 8 to 5 PST or 9 to 5 PST.
Job Description :
Looking for someone with at least 2 years of Data science, data pipelining, data mining, data migration, and data engineering experience. The maximum experience required is 5 to 8 years. The candidate should know about EDC and how it works. Candidate should have experience in programming languages like R or Python, SQL SAS, SAS base experience is required.
- Design and develop robust ETL / ELT pipelines for structured and unstructured data.
- Hands-on database administrator skills to manage or identify root cause and resolve issues stemming from the management of structured and / or unstructured data sources.
- Automate data ingestion, transformation, and validation processes to improve efficiency and reduce manual effort.
- Collaborate with biostatistics, data scientists, analysts, and stakeholders to support AI / ML model development and deployment.
- Build and optimize data systems for performance, scalability, and reliability, and ensure data quality, integrity, and security across platforms.
- Develop and maintain documentation for data architecture, processes, and workflows.
- Monitor and troubleshoot data pipeline issues and implement proactive solutions.
- Experienced in Rest API connection.
Required Skills
Proficiency in SQL and programming languages such as R, Python 2 Years minimumExperience with contributing to the building and optimizing data pipelines, architectures, and data sets 2 Years minimumExperience with data automation tools and frameworks 2 Years minimumPreferred Skills
SAS include SAS base / graph / listing 2 Years minimumExposure to AI / ML concepts and experience supporting model pipelines 1 Years minimumData visualization software such as Power BI, Python, RShiny 1 Years minimumNice to have medical device or any regulatory industry experienceEducation
Minimum of a Bachelors' Degree (required)Advanced Degree preferredDesired fields of study include Computer Science, Computer Engineering, Data Science, Statistics, Informatics, Information Systems or related quantitative field.Certification is preferred in SAS or SAS-based, or SQLSoftware Skills
Proficient with SQL, R, Python and some forms of ETL solutions;Advanced SQL knowledge and experience with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases;Experience with contributing to the building and optimizing data pipelines, architectures, and data sets;software / tools :SAS include SAS base / graph / listing
Relational SQLWeb Rest API connectionData visualization software such as Power BI, Python, RShinyData pipeline and workflow management toolsInterview Process
There will be 2 panel rounds, 1st
round will be screening, and in 2
nd
round, the panel may ask technical or coding-related questions.
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.