Data Platform Engineer
2 weeks ago
Job Title : Data Platform Engineer
Location: India-based - Noida preferred, Chennai or Bangalore optional
Job Type: Full-time
Experience : 5-9 Years
Location : India-based - Noida preferred, Chennai or Bangalore optional
Job Type : Full-time
Job Summary :
We are seeking a skilled and motivated Data Platform Engineer to join our team. The role focuses on DB integration, data pre-processing, data pipeline creation, and supporting AI engineering efforts.
As a Data Platform Engineer, you will work with diverse data sources and platforms, ensuring robust, secure, and scalable data infrastructure and pipelines for analytics, reporting, and AI solutions.
Key Responsibilities :
Database Integration :
- Integrate various database systems to support data collection, storage, and retrieval processes.
- Optimize database architecture for performance and scalability.
Data Pre-Processing & Pipeline Creation :
- Develop, maintain, and optimize ETL processes to extract, transform, and load data efficiently.
- Build and manage data pipelines for AI and analytics solutions.
Data Lake Management :
- Design, implement, and maintain data lakes on Azure, AWS, GCP, or other cloud/on-premise environments.
Cloud Services Management :
- Deploy and manage cloud-native services for seamless data integration and processing.
- Leverage cloud platforms to create scalable, reliable, and cost-effective data solutions.
Data Security and Monitoring :
- Ensure compliance with security standards and implement robust data protection measures.
- Monitor system performance and ensure high availability and reliability of data platforms.
Data Analytics Support :
- Enable data-driven decision-making by providing clean, processed, and well-structured data for analytics teams.
- Support advanced analytics and machine learning pipelines with appropriate data infrastructure.
API Development :
- Design and develop APIs for secure and efficient data access and exchange.
Required Skills & Qualifications :
- Experience in Big Data Engineering with a focus on data lakes (Azure, AWS, GCP, cloud-native, and on-premise setups).
- Strong understanding of ETL processes and pipeline creation.
- Proficiency in API development for data integration and interaction.
- Hands-on experience with cloud platforms and services.
- Expertise in designing and managing secure and scalable cloud-based solutions.
- Proficient in integrating structured and unstructured data from multiple sources.
- Familiarity with - data security- measures and system monitoring practices.
- Strong analytical skills and the ability to troubleshoot complex data engineering issues.
- Experience in collaborating with AI engineers, data scientists, and stakeholders.
- Experience with system monitoring tools and ensuring high availability.
- Familiarity with modern programming languages and frameworks for data engineering.
Preferred Qualifications :
- Certifications in cloud platforms (e. , AWS Certified Data Analytics, Azure Data Engineer Associate).
- Familiarity with modern AI/ML frameworks and data workflows.
- 5+ years of hands-on experience in data engineering role
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