Data Engineer (Part-time) - Remote
Welcome to Amazon, a global leader in e-commerce, cloud computing, digital streaming, artificial intelligence, and more. With a relentless customer focus, Amazon has been consistently pushing boundaries to enhance the way people live and work.
Position: Data Engineer (Part-time) - Remote from Austria
Job Overview:
Amazon is seeking a talented and motivated Data Engineer to join our dynamic team. This part-time remote position based in Austria offers a unique opportunity to contribute to our cutting-edge data initiatives and work with a diverse and innovative group of professionals.
Responsibilities:
* Design, develop, and maintain scalable data pipelines and infrastructure.
* Collaborate with cross-functional teams to gather and understand data requirements.
* Implement data solutions that align with business objectives and data architecture standards.
* Ensure data quality, integrity, and security throughout the data lifecycle.
* Troubleshoot and optimize existing data infrastructure for maximum performance.
* Stay abreast of emerging technologies and industry trends in data engineering.
Required Skills:
* Proficient in data modeling, ETL development, and data warehousing.
* Strong programming skills in languages such as Python, Java, or Scala.
* Experience with big data technologies (e.g., Hadoop, Spark, Kafka).
* Familiarity with cloud platforms, especially AWS services.
* Knowledge of SQL and database management systems.
* Excellent problem-solving and analytical abilities.
Qualifications:
* Bachelor's degree in Computer Science, Engineering, or a related field.
* Proven experience as a Data Engineer or similar role.
* Ability to work independently and collaboratively in a remote setting.
* Effective communication skills, both written and verbal.
* Detail-oriented with a commitment to delivering high-quality results.
How to Apply:
Interested candidates are invited to submit their resume and a cover letter outlining their relevant experience to us.
Amazon is an equal opportunity employer and values diversity in the workplace. We encourage applications from candidates of all backgrounds.
Join us in shaping the future of data engineering at Amazon!
Apply Now
Position: Data Engineer (Part-time) - Remote from Austria
Job Overview:
Amazon is seeking a talented and motivated Data Engineer to join our dynamic team. This part-time remote position based in Austria offers a unique opportunity to contribute to our cutting-edge data initiatives and work with a diverse and innovative group of professionals.
Responsibilities:
* Design, develop, and maintain scalable data pipelines and infrastructure.
* Collaborate with cross-functional teams to gather and understand data requirements.
* Implement data solutions that align with business objectives and data architecture standards.
* Ensure data quality, integrity, and security throughout the data lifecycle.
* Troubleshoot and optimize existing data infrastructure for maximum performance.
* Stay abreast of emerging technologies and industry trends in data engineering.
Required Skills:
* Proficient in data modeling, ETL development, and data warehousing.
* Strong programming skills in languages such as Python, Java, or Scala.
* Experience with big data technologies (e.g., Hadoop, Spark, Kafka).
* Familiarity with cloud platforms, especially AWS services.
* Knowledge of SQL and database management systems.
* Excellent problem-solving and analytical abilities.
Qualifications:
* Bachelor's degree in Computer Science, Engineering, or a related field.
* Proven experience as a Data Engineer or similar role.
* Ability to work independently and collaboratively in a remote setting.
* Effective communication skills, both written and verbal.
* Detail-oriented with a commitment to delivering high-quality results.
How to Apply:
Interested candidates are invited to submit their resume and a cover letter outlining their relevant experience to us.
Amazon is an equal opportunity employer and values diversity in the workplace. We encourage applications from candidates of all backgrounds.
Join us in shaping the future of data engineering at Amazon!
Apply Now