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Senior Data Engineer Job Opening In WorkFromHome – Now Hiring EPAM Systems


Job description

Overview

EPAM is a leading global provider of digital platform engineering and development services.

We are committed to having a positive impact on our customers, our employees, and our communities.

We embrace a dynamic and inclusive culture.

Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow.

No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking a talented Senior Data Software Engineer to join our remote team, working with a leading agriculture company that helps to improve global food security by enabling millions of farmers to make better use of available resources.

As a Senior Data Software Engineer, you will be responsible for designing and implementing data processing pipelines, ensuring data quality, and optimizing data delivery.

You will work with an AWS platform for running data pipelines, which is a serverless AWS-based data lake that loads data from numerous DBs. If you are passionate about data engineering and have a strong background in AWS, Apache Spark, and Python, we invite you to join our team.

Responsibilities

  • Design and implement data processing pipelines, ensuring data quality and optimizing data delivery
  • Develop and maintain data processing infrastructure using AWS services
  • Optimize data processing pipelines for performance and scalability
  • Troubleshoot and resolve issues with data processing pipelines
  • Ensure data security and compliance with data protection regulations
  • Document data processing pipelines and related processes
  • Collaborate with cross-functional teams to understand business requirements and develop data solutions that meet those requirements

Requirements

  • A minimum of 3 years of experience in Data Software Engineering, demonstrating your expertise in designing and implementing data processing pipelines
  • Strong experience with Amazon Web Services, including AWS Lambda, S3, EC2, Athena and Redshift
  • Proficiency in Apache Spark, Python, and SQL, enabling you to develop robust and scalable data processing solutions
  • Excellent communication skills and strong critical thinking capabilities, enabling you to collaborate effectively with cross-functional teams
  • Ability to work independently and manage stress effectively, maintaining a high level of performance even under pressure
  • Fluent spoken and written English at an Upper-Intermediate level or higher, enabling effective communication

Nice to have

  • Experience with other AWS services, such as AWS Glue, AWS EMR, and AWS Kinesis
  • Familiarity with machine learning and data science concepts

We offer

  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
#J-18808-Ljbffr

Required Skill Profession

Bases De Datos, Analítica Y Bi


  • 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 WorkFromHome, Colombia, highlighting market share and opportunities for professionals in Senior Data roles.

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Are You Looking for Senior Data Engineer Job?

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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 EPAM Systems 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 Colombia 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 WorkFromHome. 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 Bases De Datos, Analítica Y Bi 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

EPAM Systems 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 EPAM Systems'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.

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

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Data Engineer interview at EPAM Systems, 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 EPAM Systems'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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