Access India (Triyam Information Technology)

Job Title/Role : EHR Data Engineer Mode of hire : Full-Time Base Location : Guindy, Chennai Mode of work : Hybrid/ Roster Model ( As of now it will be remote role) Shift Timing : From 2 PM IST to 11 PM IST No of Positions : 5 Experience : 5 to 10 Years About Us Access is a global leader in information management solutions, offering comprehensive services across the entire document and records management lifecycle. From secure offsite storage for paper and digital records to advanced software for privacy, retention, and document management, Access enables organizations to protect, govern, and maximize the value of their information. Our end-to-end services include backfile imaging and digital delivery, scanning and digitization, business process automation, and secure destruction, purges, shredding, electronic data archiving, and EHR archiving. About the Role: We are looking for an EHR Data Engineer with strong expertise in EHR/EMR systems (Epic/Athena Health/ Cerner/Meditech, Allscripts, etc.) as well as data analysis tools and databases. The role involves analysing and migrating healthcare data (SQL, HL7, CCDA, CSV), ensuring accuracy, compliance, and data integrity throughout the conversion process. You will work with stakeholders to gather requirements, map and validate data, resolve data issues, and document processes. Furthermore, you will work with Product and Engineering teams to continually evolve our products and services. Strong knowledge of healthcare standards, HIPAA compliance, and prior experience in EHR conversions are essential. Roles and Responsibilities: This is a hands-on position working with healthcare customer data to complete data migration, conversion, and archival projects. Customer satisfaction is a must. This position is initially an individual contributor position but may evolve into a team lead or management role for the individual with both the motivation and skillsets. Analyze healthcare data using common data analysis tools, ETL tools, and data visualization tools Be proficient with SQL (relational database), hierarchical database, CSV, HL7, CCDA formats for extraction, transformation, and import. Have experience in one or more EHR like Athena health, Epic, Meditech, Cerner, Allscripts etc. Be familiar with the terminology and standards in the healthcare industry, especially as it related to EHR, such as SNOMED, ICD-10, etc. Have a good understanding of master data mapping between EHRs, including common industry coding systems Facilitate meetings with multiple internal and external stakeholders to gather requirements, identify data conversion needs, provide ongoing updates, and ensure high customer satisfaction Ability to do quality assurance on data conversion work, verify data integrity and identify data cleanliness issues and reconcile converted data to ensure accuracy Parse, validate and normalize healthcare messaging and document standards (SQL,HL7,CCDA/CDA), and ensure clinical data fidelity during conversions. Perform reconciliation and validation between source and target/archive: row counts, checksums/hashes, key metrics, record sampling, and automated data quality tests. Document and triage data issues with stakeholders Support data governance: classify PHI, apply de-identification/masking when required, and ensure compliance with retention, privacy and audit requirements. Develop and update technical and business process documentation for data conversions (internal and customer-facing) Partner with Product and Engineering organizations to continually evolve our products and services based on real-world experience Participate in informal internal training as part of ongoing team improvement Qualifications & Experience: 5+ years of experience working with healthcare data 5+ years of experience working with EHRs/EMRs Fluent in English with strong verbal and written communication skills High technical proficiency with database concepts such as tables, fields, keys, indexes, normalization, etc., required Knowledge of data privacy (HIPAA), retention policies and best practices for archiving healthcare records. Healthcare-related certification(s): CDIP, RHIA/RHIT, Certified Health Data Analyst (CHDA) or equivalent helpful but not required. Prior involvement in EHR/EMR conversions Experience working with the HL7 standard Familiarity with a variety of database types and interfaces (MS SQL Server, Oracle, various text formats, EDI, HL7, AWS Athena). Direct experience in bridging the gap between end user requirements and technology solutions Bachelor’s degree in computer science, data science, or similar field Technical Skills Advanced proficiency with relational databases, noSQL databases, and other data stores Hands-on experience with EHR/EMR systems (Epic, Athenahealth, Cerner, Meditech, Allscripts, etc.) Strong knowledge of healthcare data standards: HL7, CCDA/CDA, CSV, hierarchical databases Data mapping and conversion expertise across EHRs Data reconciliation and validation techniques: row counts, checksums, hashes, record sampling, automated quality checks Experience with data governance practices, PHI classification, HIPAA compliance, and de-identification/masking Familiarity with healthcare terminology and industry standards Proficiency in handling structured and unstructured data across formats (SQL, Oracle, EDI, text files) Strong documentation skills for technical and business processes Competencies: Communication Stakeholder Collaboration Analytical & Problem-Solving Skills Continuous learning Ability to work on multiple, customer projects at the same time