indeed
4261- Data Engineer
Innovaccer
, KSA
Full Time
Mid
3 weeks ago
PythonSQLETL/ELTSnowflakeAWS RedshiftAzure Synapse
Free
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PythonSQLETL/ELT
About the Role
Innovaccer seeks a Data Engineer to design, build, and maintain scalable data pipelines and platforms for AI-driven healthcare solutions in Saudi Arabia. The role involves ETL/ELT pipelines, cloud data warehouses, and collaboration with cross-functional teams.
Key Skills for This Role
PythonSQLETL/ELTSnowflakeAWS RedshiftAzure Synapse
Responsibilities
- Design, develop, and maintain robust ETL/ELT data pipelines to ingest, transform, and deliver healthcare data from multiple source systems
- Build and optimize scalable data models within cloud data warehouses (Snowflake, AWS Redshift, or Azure Synapse) to support analytics and reporting
- Collaborate with data scientists, product managers, and clinical informatics teams to understand data needs and translate them into reliable data solutions
- Ensure data quality, integrity, and governance by implementing testing frameworks, validation checks, and monitoring alerts across all pipelines
- Work with healthcare interoperability standards (HL7, FHIR) to integrate clinical and claims data from diverse health systems in the KSA market
- Contribute to infrastructure as code practices, supporting CI/CD pipelines and automating deployment of data workflows
- Participate in code reviews, architectural discussions, and cross functional sprint planning to ensure delivery of high quality, production grade data products
Requirements
- 3–6 years of hands on experience in data engineering or a closely related role
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field
- Strong understanding of data engineering principles including data modelling, warehousing, and pipeline architecture
- Ability to write clean, efficient, and well documented code in Python and SQL
- Proven experience with distributed processing frameworks such as Apache Spark or Kafka
- Experience with orchestration tools (Apache Airflow, Prefect, or similar)
- Familiarity with healthcare data standards such as HL7, FHIR, ICD 10, and SNOMED CT
- Knowledge of cloud platforms (AWS, Azure, or GCP) and their managed data services
Full Job Posting
About the Role
- As a Data Engineer at Innovaccer, you will be at the heart of our data infrastructure — designing, building, and maintaining the scalable pipelines and platforms that power our AI driven healthcare solutions across the Kingdom of Saudi Arabia.
- You will play a key role in enabling data driven decision making for health systems, payers, and providers, directly contributing to better patient outcomes and operational excellence across the Saudi healthcare landscape.
A Day in the Life
- Design, develop, and maintain robust ETL/ELT data pipelines to ingest, transform, and deliver healthcare data from multiple source systems.
- Build and optimize scalable data models within cloud data warehouses (Snowflake, AWS Redshift, or Azure Synapse) to support analytics and reporting.
- Collaborate with data scientists, product managers, and clinical informatics teams to understand data needs and translate them into reliable data solutions.
- Ensure data quality, integrity, and governance by implementing testing frameworks, validation checks, and monitoring alerts across all pipelines.
- Work with healthcare interoperability standards (HL7, FHIR) to integrate clinical and claims data from diverse health systems in the KSA market.
- Contribute to infrastructure as code practices, supporting CI/CD pipelines and automating deployment of data workflows.
- Participate in code reviews, architectural discussions, and cross functional sprint planning to ensure delivery of high quality, production grade data products.
What You Need Knowledge
- Strong understanding of data engineering principles including data modelling, warehousing, and pipeline architecture.
- Familiarity with healthcare data standards such as HL7, FHIR, ICD 10, and SNOMED CT.
- Knowledge of cloud platforms (AWS, Azure, or GCP) and their managed data services.
What You Need Abilities
- Ability to write clean, efficient, and well documented code in Python and SQL.
- Ability to independently own and deliver data pipeline projects end to end, from requirements gathering to production deployment.
- Ability to troubleshoot complex data issues and communicate findings clearly to both technical and non technical stakeholders.
Credentials & Experience
- 3–6 years of hands on experience in data engineering or a closely related role.
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.
- Proven experience with distributed processing frameworks such as Apache Spark or Kafka.
- Experience with orchestration tools (Apache Airflow, Prefect, or similar) to manage complex workflow dependencies.
- Prior experience working in healthcare IT or with clinical/claims datasets is strongly preferred.
Preferred Skills
- Proficiency in dbt (data build tool) for analytics engineering and data transformation workflows.
- Experience with real time streaming pipelines using Apache Kafka or AWS Kinesis.
- Familiarity with data observability and monitoring tools such as Monte Carlo, Great Expectations, or similar.
- Understanding of HIPAA, PDPL (Saudi Personal Data Protection Law), and data privacy best practices in a healthcare context.
- Experience working in an Agile/Scrum environment with cross functional global teams.
- Knowledge of Arabic language is a plus for stakeholder communication within the KSA market.
Here’s What We Offer
- Generous Leaves: Enjoy generous leave benefits of up to 40 days.
- Parental Leave: Leverage one of industry's best parental leave policies to spend time with your new addition.
- Health Insurance: We offer comprehensive health insurance to support you and your family.
- Care Program: Care vouchers to mark major life events.
- Financial Assistance: Salary advances and personal loans for genuine personal needs.
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