Data Engineer

Overview

Job Description:

Summary

The Data Engineer will be responsible for designing, developing, and maintaining the data infrastructure for a healthcare organization. The ideal candidate will have experience in working with healthcare data, including EHR, HIMS, PACS, and RIS. They will also have experience with SQL, Elasticsearch, and data integration tools such as Talend.

Key Responsibilities:
 Data Pipeline Development: Design, develop, and maintain scalable data pipelines using
Microsoft Fabric.
 Data Integration: Integrate data from various sources, ensuring data quality and
consistency.
 Data Transformation: Perform data cleaning, transformation, and aggregation to
support analytics and reporting.
 Performance Optimization: Optimize data processing workflows for performance and
scalability.
 Collaboration: Work closely with data scientists, analysts, and other stakeholders to
understand data requirements and deliver solutions.
 Documentation: Create and maintain documentation for data processes, workflows,
and infrastructure.
Required Skills and Qualifications:
 Experience: 3-4 years of experience in data engineering or related field.
 Technical Skills:
 Proficiency in Microsoft Fabric and its components.
 Strong knowledge of SQL and database management systems.
 Experience with big data technologies (e.g., Spark, Hadoop).
 Familiarity with data warehousing concepts and ETL processes.
 Programming Skills: Proficiency in programming languages such as Python, Java, or Scala. Python will be preferable.
 Analytical Skills: Strong problem-solving skills and ability to analyze complex data sets.
 Communication Skills: Excellent verbal and written communication skills.
Preferred Qualifications:
 Certifications: Relevant certifications in data engineering or Microsoft technologies.
 Experience: Experience with cloud platforms. Working in Azure is a must.
 Tools: Familiarity with data visualization tools (e.g., Power BI, Tableau).

Job Types: Full-time, Permanent

Pay: ₹400,000.00 - ₹1,200,000.00 per year

Benefits:

• Flexible schedule
• Health insurance
• Paid time off

Schedule:

• Day shift
• Monday to Friday

Experience:

• Data Engineer: 3 years (Preferred)
• SQL: 2 years (Preferred)
• Python: 2 years (Preferred)
• ETL: 2 years (Preferred)
• Spark: 2 years (Preferred)
• Azure: 2 years (Preferred)

Work Location: In person