Big Data Developer

3 days ago


Dubai, Dubai, United Arab Emirates YO IT Group Full time

Position Summary
We are seeking a skilled and experienced Big Data Engineer with expertise in the healthcare domain. The ideal candidate will have extensive experience in building and maintaining large-scale data pipelines, working with big data frameworks, and cloud platforms. You will leverage your technical acumen to drive the development and optimization of data systems that support healthcare-specific data integration, transformation, and analysis.

Experience: 5 - 6 Years
Location: United Arab Emirates - Dubai
Must reside in Dubai

Mandatory Requirements:

  • Strong proficiency in data engineering techniques, including ETL processes, data modeling, and database design.
  • In-depth knowledge of big data technologies like Apache Spark, Hadoop, and cloud services such as AWS, Azure, or GCP.
  • Strong problem-solving and troubleshooting skills to identify and resolve performance issues within data systems.
  • Understanding of healthcare data privacy and security requirements.
  • Ability to work in a fast-paced, dynamic environment and collaborate effectively with both technical and non-technical teams.

Qualifications:

  • Bachelor's degree in Data Engineering, Computer Science, Information Technology, or a related discipline (required).
  • Master's degree in a relevant field (preferred but not mandatory).
  • Certifications in ETL tools, data engineering platforms, or big data technologies (e.g., Cloudera, Informatica, Apache Spark) are highly desirable.
  • Proven expertise in big data frameworks (Apache Hadoop, Apache Spark) and cloud platforms (AWS, Azure, GCP).
  • Experience with healthcare data systems, including knowledge of healthcare data standards and regulations, such as HIPAA, HL7, and FHIR.

Experience:

  • At least 5-7 years of experience as a Data Engineer, specifically in building and maintaining robust data pipelines in a big data environment.
  • Extensive experience working with data validation, transformation, and integration processes in large-scale systems.
  • Hands-on experience with Cloudera Databricks and other big data platforms.
  • Familiarity with the complexities of working with healthcare-specific data, including patient records, medical imaging, claims, and other clinical data types.

Skills:

  • Strong proficiency in data engineering techniques, including ETL processes, data modeling, and database design.
  • In-depth knowledge of big data technologies like Apache Spark, Hadoop, and cloud services such as AWS, Azure, or GCP.
  • Strong problem-solving and troubleshooting skills to identify and resolve performance issues within data systems.
  • Understanding of healthcare data privacy and security requirements.
  • Ability to work in a fast-paced, dynamic environment and collaborate effectively with both technical and non-technical teams.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering and Information Technology

Industries: IT Services and IT Consulting

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