Azure Data Engineers

We are seeking an experienced Technical Delivery lead with expertise in healthcare technology to lead and manage EMR, EHR, FHIR, and interoperability projects. The ideal candidate will have a strong background in Fullstack /MERN stack development, and healthcare data standards. This role requires leadership in solution delivery, stakeholder management, team collaboration, and agile project Responsibilities : Project Delivery & Execution

 Oversee end-to-end delivery of EMR, EHR, FHIR, and healthcare interoperability solutions.

 Ensure adherence to healthcare compliance standards (HIPAA, HL7, FHIR, USCDI, etc.).

 Drive agile methodologies (Scrum/Kanban) for project Leadership :

 Lead teams in Fullstack / MERN development.

 Provide guidance on FHIR, HL7, EL7, and interoperability standards.

 Project Planning and Execution: Create and manage detailed project plans, including scope, objectives, timelines, resources, and budgets, to ensure successful delivery of healthcare projects.

 Stakeholder Collaboration: Engage with healthcare professionals, administrators, IT teams, and external vendors to define project requirements, ensure alignment, and maintain stakeholder satisfaction.

 Team Leadership: Lead cross-functional teams, delegating tasks, resolving conflicts, and fostering collaboration to meet project milestones.

 Architect and implement scalable, secure, and compliant healthcare & Client Management :

 Collaborate with healthcare providers, payers, and regulatory bodies.

 Translate business needs into technical requirements and solutions.

 Ensure smooth communication between technical teams and business Management & Mentoring :

 Manage a cross-functional team of developers, architects, and QA engineers.

 Provide mentorship and training on EMR/EHR systems, APIs, and cloud & Continuous Improvement :

 Keep up with the latest healthcare IT trends, FHIR updates, and interoperability advancements.

 Drive best practices in CI/CD, microservices, and API Skills & Qualifications :

 10+ years of experience in software development and Technical project management.

 Deliver projects deliverables from inception to delivery on time and meet all project requirements

 Work with stakeholders to set timelines, communicate program statuses, set recurring meetings, and identify/address potential setbacks

 Able to use JIRA to plan and track project development and timelines

 Work with department heads and other team leaders to ensure project objectives are met

 Work closely with our Product and Engineering teams to communicate customer feedback and drive product improvements

 Strong expertise in EMR, EHR, FHIR, HL7, interoperability standards.

 Hands-on experience in MERN Stack software development

 Knowledge of FHIR-based data exchange, SMART on FHIR, and USCDI.

 Experience with authentication protocols (OAuth2, JWT, SAML, OpenID Connect).

 Proficiency in agile project management (Scrum, SAFe, Kanban).

 Strong leadership, problem-solving, and communication Qualifications :

 Experience with FHIR servers like Azure API for FHIR, HAPI FHIR.

 Exposure to AI/ML in healthcare, predictive analytics, and data interoperability.

 PMP, SAFe, or Agile certification is a plus.

Who we are:

Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth.

Awards and Recognitions

Kanerika has won several awards over the years, including:

CMMI Level 3 Appraised in 2024.

Best Place to Work 2022 & 2023 by Great Place to Work®.

Top 10 Most Recommended RPA Start-Ups in 2022 by RPA today.

NASSCOM Emerge 50 Award in 2014.

Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture.

Recognized for ISO 27701, 27001, SOC2, and GDPR compliances.

Featured as Top Data Analytics Services Provider by GoodFirms.

Working for us

Kanerika is rated 4.6/5 on Glassdoor, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people’s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees. Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. See the benefits section below for the perks you’ll get while working for Kanerika.

Locations

We are located in Austin (USA), Singapore, Hyderabad, Indore and Ahmedabad (India).

Required Qualifications:

- 15+ years in data governance and management.

- Expertise in Microsoft Purview, Informatica, and related platforms.

- Experience leading end-to-end governance initiatives.

- Strong understanding of metadata, lineage, policy management, and compliance regulations.

- Hands-on skills in Azure Data Factory, REST APIs, PowerShell, and governance architecture.

- Familiar with Agile methodologies and stakeholder communication.

What You Will Do:

As a Data Governance Architect at Kanerika, you will play a pivotal role in shaping and executing the enterprise data governance strategy. Your responsibilities include:

1. Strategy, Framework, and Governance Operating Model

- Develop and maintain enterprise-wide data governance strategies, standards, and policies.

- Align governance practices with business goals like regulatory compliance and analytics readiness.

- Define roles and responsibilities within the governance operating model.

- Drive governance maturity assessments and lead change management initiatives.

2. Stakeholder Alignment & Organizational Enablement

- Collaborate across IT, legal, business, and compliance teams to align governance priorities.

- Define stewardship models and create enablement, training, and communication programs.

- Conduct onboarding sessions and workshops to promote governance awareness.

3. Architecture Design for Data Governance Platforms

- Design scalable and modular data governance architecture.

- Evaluate tools like Microsoft Purview, Collibra, Alation, BigID, Informatica.

- Ensure integration with metadata, privacy, quality, and policy systems.

4. Microsoft Purview Solution Architecture

- Lead end-to-end implementation and management of Microsoft Purview.

- Configure RBAC, collections, metadata scanning, business glossary, and classification rules.

- Implement sensitivity labels, insider risk controls, retention, data map, and audit dashboards.

5. Metadata, Lineage & Glossary Management

- Architect metadata repositories and ingestion workflows.

- Ensure end-to-end lineage (ADF → Synapse → Power BI).

- Define governance over business glossary and approval workflows.

6. Data Classification, Access & Policy Management

- Define and enforce rules for data classification, access, retention, and sharing.

- Align with GDPR, HIPAA, CCPA, SOX regulations.

- Use Microsoft Purview and MIP for policy enforcement automation.

7. Data Quality Governance

- Define KPIs, validation rules, and remediation workflows for enterprise data quality.

- Design scalable quality frameworks integrated into data pipelines.

8. Compliance, Risk, and Audit Oversight

- Identify risks and define standards for compliance reporting and audits.

- Configure usage analytics, alerts, and dashboards for policy enforcement.

9. Automation & Integration

- Automate governance processes using PowerShell, Azure Functions, Logic Apps, REST APIs.

- Integrate governance tools with Azure Monitor, Synapse Link, Power BI, and third-party platforms.

JD for QA Engineer:

• Must have worked on web based applications like React(Frontend) and Drupal CMS(backend)
• Understand requirements, develop test plan, execute manual test cases, dig deeper into issues, identify root causes and articulate defects clearly.
• Strive for excellence in quality by looking beyond obvious scenarios and stated requirements and by keeping end user needs in mind.
• Deliver a high quality robust product in a fast paced environment.
• Work closely with the Development, Product Management, Design and Content team for release of the feature/product.
• Recreate production reported issues to determine root cause and verify the fix.
• Stay current with the latest technology, tools and methodologies; share knowledge by clearly articulating results and ideas to peers.
• Self-starter, takes initiative, identifies and completes tasks, should be goal driven.
• 
  

Required Skills:

• Graduate or Masters in Computer Science Engineering or a related field.
• 4-5 years of experience in QA methodologies, SDLC, STLC
• Strong testing & technical skills with excellent knowledge of designing tests for early defect identification.
• Hands on experience in creation and execution of test cases/test plans.
• Experience of SQL and Database and API Testing.
• Excellent debugging, troubleshooting and analytical skills.
• Understanding of Performance, and Security Testing techniques.
• Knowledge of Unix/Linux environments and hands-on with Unix shell commands.
• Hands on experience with technologies like React, and Drupal CMS

Note: immediate joiners.(Good communication, React and Drupal CMS must have skills)

We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.

Machine Learning Engineer Responsibilities:

Consulting with managers to determine and refine machine learning objectives.

Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.

Transforming data science prototypes and applying appropriate ML algorithms and tools.

Ensuring that algorithms generate accurate user recommendations.

Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.

Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.

Developing ML algorithms to analyze huge volumes of historical data to make predictions.

Running tests, performing statistical analysis, and interpreting test results.

Documenting machine learning processes.

Keeping abreast of developments in machine learning.

Machine Learning Engineer Requirements:

Bachelor's degree in computer science, data science, mathematics, or a related field.

Master’s degree in computational linguistics, data analytics, or similar will be advantageous.

At least two years' experience as a machine learning engineer.

Advanced proficiency with Python, Java, and R code writing.

Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.

In-depth knowledge of mathematics, statistics, and algorithms.

Superb analytical and problem-solving abilities.

Great communication and collaboration skills.

Excellent time management and organizational abilities.

Roles and Responsibilities;-

• Include managing Java/Java EE application development while providing expertise in the full software development lifecycle, from concept and design to testing.
• Designing, developing and delivering high-volume, low-latency applications for mission-critical systems

Framework required – spring boot, Hibernate
Skills - Should have knowledge of JPA, js, Ajax

• To appoint Block Sales Manager in their respective Districts.
• To manage sales operations in assigned district to achieve revenue goals.
• To supervise sales team members on daily basis and provide guidance whenever needed.
• To identify skill gaps and conduct trainings to sales team.
• To work with team to implement new sales techniques to obtain profits.
• To assist in employee recruitment, promotion, retention and termination activities.
• To conduct employee performance evaluation and provide feedback for improvements.