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Persolkelly India
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Senior Data Engineer

Senior Data Engineer

Persolkelly India

3 - 8 years

6 - 10 Lacs

hubli mangaluru mysuru bengaluru belgaum

Posted:21 hours ago| Platform:

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Skills Required

computer science analytical shell scripting product planning healthcare apache analytics monitoring sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Description:

We are seeking a Senior Data Engineer to design and implement scalable, secure, and high-performance data pipelines for cloud-native digital health platforms. This role requires strong hands-on experience in cloud data engineering, stream and batch processing, and data governance. You will collaborate with cross-functional teams to deliver data infrastructure that supports analytics, AI/ML, and healthcare compliance.

As a senior engineer, a hands-on approach is essential, especially in building and optimizing data pipelines, APIs, and cloud-native data services.

Key Skills:

Cloud Platforms: Google Cloud Platform (preferred) and at least one of AWS or Azure

Programming & Scripting: Python, Shell scripting

Data Pipelines & Orchestration: Apache Beam, Airflow, PySpark

API Development: FastAPI, Flask, API Gateways

Messaging Systems: Kafka, Pub/Sub, RabbitMQ

Databases: BigQuery, SQL, NoSQL (MongoDB, Firestore)

Containers & Functions: Docker, Kubernetes, Cloud Functions

Data Governance & Compliance: HIPAA, GDPR, HL7, EMR, multi-omics data

Monitoring & Logging: Stackdriver, Prometheus, ELK

Agile & Collaboration: Jira, Confluence, Scrum practices

Responsibilities:

Build and maintain cloud-native data pipelines for structured and unstructured healthcare data

Develop APIs and data services to support analytics, AI/ML, and product features

Collaborate with architects, data scientists, and product teams to ensure data quality and availability

Implement data governance, lineage, and security controls across platforms

Optimize pipeline performance, scalability, and reliability

Participate in code reviews and enforce data engineering best practices

Stay current with emerging data technologies and cloud-native tools

Support compliance with healthcare regulations and data privacy standards

Contribute to agile sprints and product planning activities

Qualifications:

Bachelor s degree in Computer Science, Engineering, or a related field

3+ years of hands-on experience with GCP (preferred) and either AWS or Azure

Proven experience in building and managing cloud-native data pipelines

Familiarity with healthcare or regulated environments is a plus

Strong analytical and problem-solving skills

Disclaimer: The job location mentioned in this description is based on publicly available information or company headquarters. Candidates are advised to verify the exact job location directly with the employer before applying.

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Senior Data Engineer