13 Data Engineer Jobs in Grand Rapids, MI
Argyll Infotech Enterprise Pvt Ltd is Hiring a Data Engineer Near Grand Rapids, MI
- Job Title: Contract based Data Engineer
- Location: Grand Rapids, MI/ Hybrid
- Contract Duration: 7 months
- Responsibilities:
- Design, code, test, and implement data movement, dashboarding and analytical assets.
- Develop system documentation according to SAFe Agile principles and industry standards.
- Evaluate architectural options and define the architecture of enterprise Data Lake and Data Warehouse.
- Provide subject matter expertise and technical consulting support on Azure Data Factory, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2.
- Define functional and non-functional requirements including performance monitoring, alerting, and code management.
- Partner with all areas of the business to gather requirements for Data and Analytics and design solutions.
- Mentor and coach other members of the agile and/or Run team.
- Drive engagement with ITS Security and Infrastructure teams to ensure secure development and deployment of solutions.
- Interface with the Product Manager and IT partners at the Program level and within other Release Trains to define and estimate features for agile teams.
- Conduct industry research, facilitate new product and vendor evaluations, and assist in vendor selection.
- Qualifications:
- 6 years industry experience in business application design, development, implementation, and/or solution architecture.
- Understanding of architecture practices for large projects / programs.
- Experience with Azure
- Data Factory, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2.
- Databricks experience is required.
- Experience designing data pipelines, ingestion, storage, prep-train, model and serve using Azure technologies.
- Bachelor’s degree in computer science, Computer Information Systems, Business Information Systems, Engineering or equivalent.
- Excellent written and oral communication skills.
- Previous experience in Power BI, Data Modeling, Data Classification and zones, data movement, Data architecture and reporting.
- In-depth understanding of computer, storage, network components including backup, monitoring, and DR environment requirements.
- Preferred knowledge and experience on Python and API architecture in Azure.
- Any SAFe certification or training.
- Experience with multiple, diverse technical configurations, technologies, and processing environments.
- Exceptional interpersonal skills, including teamwork, facilitation, and negotiation.
Job Summary
Contractor
$111k-136k (estimate)
06/06/2024
11/05/2024
The job skills required for Data Engineer include Python, Computer Science, Azure, Data Modeling, Agile, API, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
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A data engineer prepares data for analytical or operational uses.
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Data engineers simplify complex data structure and prevent the reduplication of data.
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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Engineer jobs
Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
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Oil changes are an essential component of preventative maintenance.
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A data engineer should be aligned with a data scientist’s needs while creating a data system.
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Start with an entry-level position.
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Consider pursuing additional professional engineering or big data certifications.
03/09/2022: Saginaw, MI
Step 3: View the best colleges and universities for Data Engineer.
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