Big Data Engineer

2 weeks ago


Delhi, Delhi, India Easy Recruit Global Full time

Job Description :

- 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.

- Must reside in Dubai

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 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.

(ref:hirist.tech)
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