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Data Engineer
Experis Philadelphia, PA
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$115k-141k (estimate)
Full Time 1 Week Ago
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Experis is Hiring a Data Engineer Near Philadelphia, PA

Job Title : Data Engineer (Databricks Platform Modernization)
MUST HAVES Skills/Tech : 5-7 years experience
  • Hands-on experience with Databricks and Azure , including implementation using Unity Catalog.
  • Experience in platform modernization projects and implementation.
  • Deep understanding of components of data and analytics (building data platforms, data platform management, data extraction, ETL/ELT, data security, and data/insight reporting)
Job Responsibilities:
  • Collaborate with cross-functional teams to architect, implement, and optimize Cencora's cloud Data & Analytics platform throughout all phases of data ingestion.
  • Evaluate and integrate software technologies into our modern platform, ensuring compatibility and scalability while leveraging configurable self-service tools.
  • Lead technical discussions and facilitate collaboration among technical stakeholders to make informed decisions and drive architecture designs.
  • Document meeting notes, technical conversations, and architectural decisions to ensure alignment and enable knowledge sharing across teams.
  • Explore emerging features and technologies in the data and analytics space, conducting research and analysis to identify opportunities for improvement.
  • Hands-on evaluation and testing of tools and technologies, including Databricks and Azure , to support data platform management, data extraction, UI/UX presentation, and generative AI.
  • Collaborate with delivery and platform teams to implement architectural strategies, design solutions, and ensure successful project outcomes.
  • Evaluate, propose, and implement data writing solutions using tools like Power BI, ensuring data governance, security, and compliance requirements are met.
Required Skills and Qualifications:
  • 5-7 years of proven experience in Data Engineering roles, with a strong understanding of Data and Analytics components.
  • Expertise in cloud platforms, particularly Databricks and Azure, with hands-on experience in architecting and implementing data solutions.
  • Proficiency in data platform management, data extraction, UI/UX presentation, and generative AI, with a strong technical background in data ops and data governance.
  • Ability to lead technical discussions, document decisions, and communicate effectively with both technical and non-technical stakeholders.
  • Proactive, independent, and self-motivated with a natural curiosity and desire to explore emerging technologies and industry trends.
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent work experience)

Job Summary

JOB TYPE

Full Time

SALARY

$115k-141k (estimate)

POST DATE

05/01/2024

EXPIRATION DATE

05/14/2024

WEBSITE

experis.us

HEADQUARTERS

CIUDAD DE MEXICO, CIUDAD DE MEXICO

SIZE

3,000 - 7,500

FOUNDED

2011

CEO

MONICA GRISELDA FLORES BARRAGAN

REVENUE

$10M - $50M

INDUSTRY

Business Services

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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.

03/28/2022: New Suffolk, NY

Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.

04/13/2022: Harrisburg, PA

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.

01/22/2022: Fort Wayne, IN

Oil changes are an essential component of preventative maintenance.

02/26/2022: Newark, NJ

A data engineer should be aligned with a data scientist’s needs while creating a data system.

04/10/2022: Fayetteville, NC

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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