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Data Integration Engineer - Geospatial experience Remote

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Data Integration Engineer - Geospatial experience Description

DESCRIPTION



Are you a skilled Data Integration Engineer with a focus on Geospatial technology?

Do you have a strong background in spatial data formats, platforms, functions, programming languages, and ETL techniques?

If so, we have an exciting opportunity for you!

We're currently seeking a Data Integration Engineer to join our vibrant team.
This role offers the chance to collaborate with cross-functional teams to analyze geospatial data requirements and design efficient solutions. If you're ready to take your career to the next level, we'd love to hear from you!

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.

Responsibilities

  • Utilize knowledge of spatial data formats, platforms, functions, programming, and ETL techniques
  • Demonstrate proficiency in GCP (Google Cloud Platform), Linux operating system, spatial SQL, and Python programming language
  • Collaborate with cross-functional teams to analyze geospatial data requirements and design efficient solutions
  • Develop and maintain geospatial data processing pipelines, ensuring accuracy, reliability, and scalability

Requirements

  • Proficiency in spatial data analysis and manipulation using GCP, Linux, spatial SQL, and Python
  • Experience with geospatial data formats (e.g., GeoJSON, Shapefile), tools, and libraries
  • Familiarity with ETL processes and data integration techniques
  • Strong problem-solving skills and attention to detail
  • Ability to work collaboratively in a team environment

Nice to have

  • Experience with geospatial data visualization tools (e.g., QGIS, ArcGIS)
  • Knowledge of GIS (Geographic Information Systems) principles and methodologies
  • Familiarity with spatial databases (e.g., PostGIS, Oracle Spatial)
  • Understanding of web mapping technologies (e.g., Leaflet, Mapbox)

Technologies

  • GCP (Google Cloud Platform)
  • Linux operating system
  • Spatial SQL
  • Python programming language
  • Geospatial data formats (e.g., GeoJSON, Shapefile)
  • ETL processes and data integration techniques

We Offer

  • Career plan and real growth opportunities
  • Unlimited access to LinkedIn learning solutions
  • International Mobility Plan within 25 countries
  • Constant training, mentoring, online corporate courses, eLearning and more
  • English classes with a certified teacher
  • Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
  • Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)
  • Flexible work schedule and dress code
  • Collaborate in a multicultural environment and share best practices from around the globe
  • Hired directly by EPAM & 100% under payroll
  • Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
  • Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)
  • 13 % employee savings fund, capped to the law limit
  • Grocery coupons
  • 30 days December bonus
  • Employee Stock Purchase Plan
  • 12 vacations days plus 4 floating days
  • Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)
  • Relocation bonus: transportation, 2 weeks of accommodation for you and your family and more
  • Monthly non-taxable amount for the electricity and internet bills

Conditions

  • By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy

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