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Data Engineer
$106k-134k (estimate)
Full Time 1 Month Ago
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TEKsystems c/o Allegis Group is Hiring a Data Engineer Near Chicago, IL

Job Details

Description:
Our Client is currently seeking an experienced Data Engineer to join our development team. The right person will have proven Specialization in Data Engineering following Medallion Data Architecture Principles and experience in building/supporting large data structures.
Design and build data processing pipelines using tools and frameworks in the Databricks/Azure ecosystem using ADLS.
Design, develop, optimize, and maintain data pipelines, storage, and compute components using Azure Services.
Understand the Data Platforms & Services strategy, and information architecture, and help build modern data lakes and maintain high standards of data quality and integrity.
Design and build ETL pipelines to automate structured and unstructured data ingestion.
Analyzes requirements and architecture specifications to create a detailed design document. - Responsible for data engineering functions including, but not limited to data extraction, transformation, loading, and integration in support of modern cloud computing platforms like Azure and Databricks.
Work with DevOps engineers on CI/CD processes; perform code reviews and develop processes for improving code quality.
Strong in scalability, performance, and availability of our systems.
Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.
Assist in the evaluation, implementation, and deployment of emerging tools to modernize the data platform.
Partner with analysts and architects to support technical architectures for data engineering projects.
In-depth experience using SQL Server DB for ETL processes
Skills:
Python, Sql, Azure, Data
Top Skills Details:
Python, Sql, Azure
Additional Skills & Qualifications:
Bachelor's degree in computer science or a similar field with 5 years experience as a data engineer or SQL developer.
5 years experience developing SQL and Python.
In-depth knowledge of Azure Data Factory, Azure Databricks, and Azure Service Bus.
Excellent understanding of T-SQL programming, ETL Processes, and Microsoft SQL Server.
Experience working with data using structured (SQL) and/or unstructured (NoSQL) approaches, Redshift experience a plus
Experience with or exposure to data visualization principles and practices, especially with Power BI or Tableau.
BS/MS degree in Computer Science, Engineering, or a related subject
Sense of ownership and pride in your performance and its impact on the company's success
Experience Level:
Expert Level
About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Job Summary

JOB TYPE

Full Time

SALARY

$106k-134k (estimate)

POST DATE

08/14/2024

EXPIRATION DATE

08/18/2024

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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 III 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.

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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.

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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 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.

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Step 3: View the best colleges and universities for Data Engineer.

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