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Senior Data Engineer Job Opening In Oak Brook – Now Hiring Wavicle Data Solutions


Job description

Wavicle Data Solutions, LLC seeks a Senior Data Engineer in Oak Brook, IL.

WHAT YOU WILL GET TO DO

  • Responsible for designing and building optimized data pipelines, in an on-prem or cloud environment for the purpose of driving analytic insights.

  • Create the conceptual, logical, and physical data models.

  • Develop and implement end-to-end data pipelines and data integration solutions using cloud platforms such as AWS or GCP.
  • Architect end-to-end data solutions ensuring integration across cloud platforms (AWS, GCP) with optimized ETL pipelines.

  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources like Hadoop, Spark, or AWS Lambda.

  • Lead solution design and development of web-based data applications, providing technical direction on the front-end frameworks such as React.js, Vue.js, and SmartGWT to build interactive interfaces that support analytics and data exploration.

  • Design, develop, test, deploy, maintain and improve data integration pipeline.

  • Implement and manage CI/CD pipelines using Jenkins or GitHub Actions to automate the development, testing, and deployment of data engineering solutions.

  • Guide the adoption of development best practices including version control (GIT), CI/CD pipelines, automated testing, and performance tuning.

  • Develop pipeline objects using Apache Spark / PySpark/ Python or Scala.

  • Develop and maintain RESTful APIs and backend services to support data processing workflows and integration between data pipelines and user-facing systems.
  • Lead and/or mentor a small team of Data Engineers.

  • Communicate effectively with client leadership and business stakeholders.

  • Participate in proposal and/or SOW development.

WHAT YOU BRING TO THE TEAM

  • Bachelor's Degree in Computer Science, Software Engineering, Data Analytics, Information Technology or related field plus 4 years of experience as a Data Engineer, Applications Developer, Programming, or Technical Lead or related occupations.

  • 4 years of experience in the following: Web-based mobile application development using at least one of the following technologies: React, Vue, NodeJS, REST based Web services, Python, and Java; Programming experience using Scala, Python, or Java.

  • 3 years of experience in the following: Working with at least one of the following databases: Snowflake, AWS Redshift, Oracle, or SQL; Utilization of SQL to write complex, highly-optimized queries across large volumes of data; Implementing ETL pipelines using at least one of the following AWS services: Lambda, S3, API Gateway, SNS, or SQS.


  • Telecommuting is permitted.

    Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply at www.jobpostingtoday.com Ref #95698 for consideration.

BENEFITS

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D
  • Unlimited Paid Time Off (Vacation, Sick & Public Holidays)
  • Short Term & Long Term Disability
  • Employee Assistance Program
  • Training & Development
  • Work From Home
  • Bonus Program




PI516ff79e2bce-30511-38695894

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Senior Data Potential: Insight & Career Growth Guide


Real-time Senior Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Senior Data in Oak Brook, United States, highlighting market share and opportunities for professionals in Senior Data roles.

220161 Jobs in United States
220161
97 Jobs in Oak Brook
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Download Senior Data Jobs Trends in Oak Brook and United States

Are You Looking for Senior Data Engineer Job?

Great news! is currently hiring and seeking a Senior Data Engineer to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Wavicle Data Solutions adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Senior Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Oak Brook. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Senior Data Engineer?

Key qualifications for Senior Data Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Senior Data Engineer Job Success

Wavicle Data Solutions interview tips for Senior Data Engineer

Here are some tips to help you prepare for and ace your Senior Data Engineer job interview:

Before the Interview:

Research: Learn about the Wavicle Data Solutions's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

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Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Data Engineer interview at Wavicle Data Solutions, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Wavicle Data Solutions's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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