Data Engineer III

Role: Data Engineer III

• Experience: 5 to 8 years’ using cloud-based services from Azure is a must in which Minimum 2 years of healthcare experience is required
• 2+ years serving data sets to both BI tools and SE applications
• Skills & Expertise: Python, Data Bricks, PySpark, Cloud-based services -Azure, ADT data, FHIR, EHR data, BI tools and SE applications
• Notice period: Candidates currently Serving NP or can join in 30 days will only be considered
• Location: Hyderabad, India
• Budget: ₹16 LPA - ₹25 LPA
• The role will initially be on a 3-month contractual basis for a completely remote setting.
• Strong communication skills are essential for this role.
  

The Hiring Process Will Include

• An initial screening interview
• A technical round
• A final evaluation round
  

About company:

We are a next-generation

AI and Cloud Transformation

company driving innovation at the intersection of technology and business. Our expertise lies in building advanced AI solutions and cloud strategies that help organizations unlock new opportunities, accelerate growth, and optimize performance.Backed by a team of passionate AI and Cloud specialists, we deliver

intelligent, scalable, and customized solutions

designed to meet unique business needs. Our mission is to empower enterprises to enhance

efficiency, productivity, and decision-making

through AI-driven transformation.By leveraging cutting-edge technologies and fostering a culture of innovation, we aim to be the

trusted partner

for organizations ready to embrace the future with confidence.

Roles & Responsibilities

We are currently seeking a highly motivated

Data Engineer III

with experience in

Healthcare Domain

. This role collaborate closely with product teams, software engineers and clinical leaders to expose various data products for internal and external clients. With over a million managed lives across the country and terabytes of data generated, our teams need to be continuously equipped with the tools and insights to drive strategy and innovation to further our core values of improving patient outcomes and empowering our providers.

What You'll Do

• Use data engineering best practices to produce high quality, maximally available data models which are intuitive and trusted by stakeholders.
• Scope and implement new entities for unified data model.
• Interfacing with business customers, gathering requirements and developing new datasets in data platform
• Identifying the data quality issues to address them immediately to provide great user experience
• Extracting and combining data from various heterogeneous data sources
• Designing, implementing and supporting a platform that can provide ad-hoc access to large datasets
• Modelling data and metadata to support machine learning and AI
• Support integration efforts from acquisitions as necessary.
  

Qualifications

• Bachelor's degree required in computer science, information technology, or related field. Master’s degree in healthcare-related field is preferred.
• Strong understanding of database structures, theories, principles, and practices.
• Working knowledge with programming or scripting languages such as Python, Spark, and SQL.
• Demonstrated track record executing best practices for the full software development life cycle (SDLC), including documentation, coding standards, code reviews, source control management, deployment processes, testing, and operations.
• Familiarity with normalized, dimensional, star schema and snowflake schematic models.
• Healthcare domain and data experience
• Working experience with Databricks preferred.
• Databricks/Microsoft Azure Certification is a plus
• Strong written and oral communication skills.
  

You're a Great For This Role If

• You’re naturally curious. You want know what the data means, and how it will be used upstream.
• You proactively identify issues and lean in to improve data quality for common use cases.
• 4+ years of experience working with diverse healthcare data sources, for example, claims, encounters, ADT data, FHIR, EHR data etc.
• 5 to 8 years’ using cloud-based services from Azure is a must In which Minimum 2 years of healthcare experience is required.
• 2+ years serving data sets to both BI tools and SE applications.
  

Skills: data bricks,sql,pyspark,adt data, fhir, ehr data, bi tools and se applications,python,azure