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Data Engineer
Full Time 6 Months Ago
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Mather Economics, LLC is Hiring a Data Engineer Near Atlanta, GA

We are in search of a technologist and problem solver that can wear many hats in our growing organization. The ideal candidate is a self-starter who is good at working both independently and with others knowing when to figure things out on his/her own and when to ask questions and seek assistance. Strong communication skills are a must, both written and verbal, along with the ability to gather information from a variety of sources.

The role involves providing monitoring support, and system administration centered around predictive maintenance and reliability engineering. The ideal candidate will possess expertise in traditional data science analysis processes as well as software engineering skills needed to deploy and build decision support aides. The team is looking for candidates with a full range of skills in programming, database design, software engineering, and cloud-native computing. Candidates experienced with process automation and optimization are also highly encouraged to apply.

RESPONSIBILITIES INCLUDE:

  • Designing schemas, data models, and data architecture for Hadoop environments
  • Implementing and maintaining data flow scripts using Pyspark / Hive QL / workflow management scripting
  • Designing, building data assets in Hive
  • Developing and executing quality assurance and test scripts
  • Collaborate with analysts to drive code quality and reusability, data integrity, test design, analysis, validation, and documentation
  • Build scalable data pipelines for both real-time and batch using best practices in data modeling, ETL processes utilizing various technologies such as Pyspark, Kafka, and Airflow
  • Working with business analysts to understand business requirements and use cases

REQUIRED QUALIFICATIONS:

  • A Bachelor's degree in Industrial Systems and Engineering, Computer Science, or Computer Engineering
  • Minimum of 2 years of experience in understanding best practices for building and designing ETL code
  • Strong SQL experience with the ability to develop, tune and debug complex SQL applications is required
  • Hands-on experience in Python object-oriented programming (at least 2 years)

PREFERRED QUALIFICATIONS:

  • Knowledge in schema design, developing data models, and proven ability to work with complex data
  • Hands-on experience with Hadoop, MongoDB, Hive, Kubernetes, Airflow, ElasticSearch, Clickhouse, NoSQL, Rancher, Graphana/Prometheus, Zeppelin, Jupyter
  • Understanding Hadoop file format and compressions
  • Understanding of best practices for building Data Lake and analytical architecture on Hadoop
  • Scripting/programming with UNIX, Java, Scala, Oozie, Stata, etc
  • Knowledge in real-time data ingestion into Hadoop
  • Experience in working in large environments such as RDBMS, EDW, NoSQL, etc
  • Experience with Test-Driven CI/CD, SCM tools such as GIT and Gitlab, Graph databases

This position works out of our headquarters in the Sandy Springs area of Atlanta. This is a full-time salaried position with full health benefits, 401k, paid vacation and bonus opportunity.

Currently, Mather Economics is not hiring students that are part of the F-1 OPT under the STEM-designated degree program. We are unable to provide visa sponsorship now or in the future.

Applicants must be currently authorized to work in the United States full-time


About Mather Economics --

Mather Economics is more than just a business consulting firm. We are a strategic partner advising our multi-national clients through a mixture of data products, econometric modeling, and data science as a service. Headquartered in Atlanta, GA, our staff of econometricians, data scientists, and data engineers increase subscriber revenue yield, operating margins, reader engagement, and subscriber churn reduction. Now is an exciting time to be part of a team helping transform our client’s business through analytics and data science.

Job Summary

JOB TYPE

Full Time

POST DATE

09/21/2022

EXPIRATION DATE

10/09/2022

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.

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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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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.

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

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