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Senior Data Engineer (Python, Databricks) Job Opening In WorkFromHome – Now Hiring EPAM Systems


Job description

4 days ago Be among the first 25 applicants

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 remote Senior Data Engineer with strong experience in Data Software Engineering.

The ideal candidate will have Big Data technologies, primarily Spark, work with cross-functional teams to design, develop, and deploy high-performance data pipelines.

Responsibilities

  • Design, develop and deploy high-performance data pipelines
  • Work with cross-functional teams to deliver complex projects
  • Develop, maintain and optimize ETL processes
  • Troubleshoot and optimize data pipeline processes
  • Create and maintain data models and databases

Requirements

  • 3+ years of software engineering experience
  • Good knowledge of Big Data technologies, primarily Spark
  • Experience with DSE Python, AWS, and Databricks
  • Familiarity with Python

Nice to have

  • Knowledge of Apache Spark and Apache Hive

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

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Information Technology, Engineering, and Business Development
  • Industries

    Software Development, IT Services and IT Consulting, and Pharmaceutical Manufacturing

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Required Skill Profession

Bases De Datos, Analítica Y Bi


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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.

63656 Jobs in Colombia
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Are You Looking for Senior Data Engineer (Python, Databricks) 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

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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.

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Key qualifications for Senior Data Engineer (Python, Databricks) 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 (Python, Databricks) Job Success

EPAM Systems interview tips for Senior Data Engineer (Python, Databricks)

Here are some tips to help you prepare for and ace your Senior Data Engineer (Python, Databricks) 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.

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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 (Python, Databricks) 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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