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Data Engineer - ETL/ELT & Database Management - Remote
Data Engineer - ETL/ELT & Database Management - RemoteDivIHN Integration Inc • United States
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Data Engineer - ETL / ELT & Database Management - Remote

Data Engineer - ETL / ELT & Database Management - Remote

DivIHN Integration Inc • United States
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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 minimum
  • Experience with contributing to the building and optimizing data pipelines, architectures, and data sets 2 Years minimum
  • Experience with data automation tools and frameworks 2 Years minimum
  • Preferred Skills

  • SAS include SAS base / graph / listing 2 Years minimum
  • Exposure to AI / ML concepts and experience supporting model pipelines 1 Years minimum
  • Data visualization software such as Power BI, Python, RShiny 1 Years minimum
  • Nice to have medical device or any regulatory industry experience
  • Education

  • Minimum of a Bachelors' Degree (required)
  • Advanced Degree preferred
  • Desired 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 SQL
  • Software 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 SQL
  • Web Rest API connection
  • Data visualization software such as Power BI, Python, RShiny
  • Data pipeline and workflow management tools
  • Interview Process

  • There will be 2 panel rounds, 1
  • st

    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.

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