We are looking for a skilled and detail-oriented Data Engineer to design, develop, and maintain data pipelines and infrastructure to support data integration, processing, and analytics.
- Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
- Collect, clean, transform, and integrate data from multiple sources.
- Develop and optimize SQL queries, database schemas, and data models.
- Work with relational and NoSQL databases.
- Implement data validation, quality checks, and monitoring.
- Work with cloud platforms and data engineering tools.
- Collaborate with Data Analysts, Data Scientists, and software development teams.
- Maintain technical documentation and ensure data security and reliability.
Requirements
- Strong knowledge of SQL and database concepts.
- Programming skills in Python.
- Understanding of ETL/ELT pipelines and data warehousing.
- Knowledge of data modeling and database optimization.
- Familiarity with Git and data processing frameworks.
- Understanding of cloud platforms such as AWS, Azure, or GCP is an advantage.
Preferred Candidate
- Candidates based in Bhubaneswar who can attend the test at the office.
- Candidates who are available to join immediately.
Benefits
Perks and Benefits
Free Lunch & Snacks, Insurance, and Performance-Linked
Incentives (PLI).
Skills Required
- Strong knowledge of SQL and database concepts
- Programming skills in Python
- Understanding of ETL/ELT pipelines and data warehousing
- Knowledge of data modeling and database optimization
- Familiarity with Git and data processing frameworks
- Understanding of cloud platforms such as AWS, Azure, or GCP
- Based in Bhubaneswar and able to attend an office test
- Available to join immediately
What We Do
Spikewell is an AI engineering and technology delivery company focused on healthcare and intelligent platforms. It develops custom software, clinical applications, healthcare interfaces, EHR integrations, analytics, and data solutions for hospitals and healthcare organizations. Its services also include AI and machine-learning solutions, robotic process automation, workflow optimization, cloud technologies, and decision-support systems designed to improve operations, reduce costs, and enhance patient care.
