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Data Engineer
DATAMAXIS Okemos, MI
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$98k-120k (estimate)
Full Time 5 Days Ago
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DATAMAXIS is Hiring a Data Engineer Near Okemos, MI

Rate: Depending on experience
Location: Okemos, MI (Hybrid)
Required Skills/Qualifications:
  • Database Platforms: Snowflake, Oracle, and SQL Server
  • OS Platforms: Linux OS and Windows Server
  • Languages and Tools: PL/SQL, Python, T-SQL, StreamSets, Snowflake Streams and Tasks, and Informatica PowerCenter, DBeaver
  • Drive and desire to automate repeatable processes.
  • Excellent interpersonal skills and communication, as well as the willingness to collaborate with teams across the organization.
Desired Skills/Qualifications:
  • Experience loading data from files in Snowflake file stages into existing tables.
  • Experience creating and working with near-real-time data pipelines between relational sources and destinations.
  • Experience working with StreamSets Data Collector or similar data streaming/pipelining tools (Fivetran, Striim, Airbyte etc.).
Responsibilities:
  • Participates in the analysis and development of technical specifications, programming, and testing of Data Engineering components.
  • Participates creating data pipelines and ETL workflows to ensure that design and enterprise programming standards and guidelines are followed. Assist with updating the enterprise standards when gaps are identified.
  • Follows technology best practices and standards and escalates any issues as deemed appropriate. Follows architecture and design best practices (as guided by the Lead Data Engineer, BI Architect, and Architectural team).
  • Responsible for assisting in configuration and scripting to implement fully automated data pipelines, stored procedures, and functions, and ETL workflows that allow for data to flow from on-premises Oracle databases to Snowflake where the data will be consumable by our end customers.
  • Follows standard change control and configuration management practices.
  • Participates in 24-hour on-call rotation in support of the platform.

Job Summary

JOB TYPE

Full Time

SALARY

$98k-120k (estimate)

POST DATE

06/24/2024

EXPIRATION DATE

07/12/2024

WEBSITE

datamaxis.com

HEADQUARTERS

Gaithersburg, MD

SIZE

<25

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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 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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