Data Engineer

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