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Data Engineer
Softpath System Richmond, VA
$111k-137k (estimate)
Full Time | IT Outsourcing & Consulting 1 Week Ago
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Softpath System is Hiring a Data Engineer Near Richmond, VA

Job Details

Job Details: Job Title : Data Engineer Location : Richmond, VA Duration : 12 Months Contract - with intent to extend contingent on project need/performance. Schedule: Hybrid In office every other week
Job Description: Qualifications
1. Minimum 5 years working experience as Data Analyst
2. Strong understanding of Data warehousing (Dimensional Modeling, ETL etc.) and RDBMS concepts
3. Minimum 5 years working experience in SQL, Stored Procedures and Table Design
4. Minimum 5 years working experience in SQL Query optimization and ETL Data loading Performance
5. Minimum 5 years working experience in Snowflake Cloud Data warehouse
6. Minimum 5 years working experience in R/Python and Spark
7. Experience as a Data Engineer in Hadoop Platforms on components like HIVE, KAFKA, NiFi, Spark etc is a big plus.
8. Minimum 2 years working experience in shell scripting
9. Experience in real time streaming technologies is plus
10. Experience deploying machine learning models and automating processes in production is a plus
11. Experience with cloud technologies(AWS, Azure, Google Cloud Platform) is big plus
12. Experience with Talend ETL tool is a big plus
Responsibilities
Responsibilities include but not limited to
Analyzing large data sets to identify trends, patterns, and insights.
Design, Develop and maintain secure, consistent and reliable ETL solutions supporting critical business processes across the various Business Units.
Ensuring data solutions are compliant with enterprise security standards.
Developing and performing tests to validate data flows and prepare ETL processes to meet complex business requirements.
Coordinating with various teams to ensure jobs designed and developed meet support standards and best practices before migration into the production environment.
Defining and capturing metadata and rules associated with ETL processes.
Work in complex multi-platform environments on multiple project assignments.
Uses strategies such as Indexing and partitioning to fine tune the data warehouse and big data environments to improve the query response time and scalability.
Define and capture metadata and rules associated with ETL processes.
Effectively communicate the findings to both technical and non-technical audiences.
Assist production support team in providing resolutions to production job failures, data issues and performance tuning.
ETL Development and Process Support, may require weekend/off business hours work

Job Summary

JOB TYPE

Full Time

INDUSTRY

IT Outsourcing & Consulting

SALARY

$111k-137k (estimate)

POST DATE

05/13/2024

EXPIRATION DATE

07/11/2024

WEBSITE

softpath.net

HEADQUARTERS

NORCROSS, GA

SIZE

500 - 1,000

FOUNDED

1999

CEO

SUSHUMNA ROY

REVENUE

$10M - $50M

INDUSTRY

IT Outsourcing & Consulting

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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 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.

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 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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