Data Platform Engineer
Data Platform Engineer
Posted on :
20-12-2024
Employer Active
1 Vacancy
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Job Description
Job Description: Data Platform Engineer
Job Title: Data Platform Engineer
Location: Indiabased Noida Chennai Bangalore Pune
Job Type: Fulltime
Experience : 510 Years
Job Summary
We are seeking a skilled and motivated Data Platform Engineer to join our team. The role focuses on DB integration data preprocessing 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 PreProcessing & 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/onpremise environments.
Cloud Services Management:
Deploy and manage cloudnative services for seamless data integration and processing.
Leverage cloud platforms to create scalable reliable and costeffective 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 datadriven decisionmaking by providing clean processed and wellstructured 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
1. Technical Expertise:
Experience in Big Data Engineering with a focus on data lakes (Azure AWS GCP cloudnative and onpremise setups).
Strong understanding of ETL processes and pipeline creation.
Proficiency in API development for data integration and interaction.
2. Cloud and Data Engineering:
Handson experience with cloud platforms and services.
Expertise in designing and managing secure and scalable cloudbased solutions.
3. Data Analytics and Integration:
Proficient in integrating structured and unstructured data from multiple sources.
Familiarity with **data security** measures and system monitoring practices.
4. Problem Solving and Collaboration:
Strong analytical skills and the ability to troubleshoot complex data engineering issues.
Experience in collaborating with AI engineers data scientists and stakeholders.
5. Other Skills:
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.g. AWS Certified Data Analytics Azure Data Engineer Associate).
Familiarity with modern AI/ML frameworks and data workflows.
5 years of handson experience in data engineering roles.
data warehouse,data lakes,aws,cloud native development,data integration,analytical skills,api development,system monitoring,big data,gcp,cloud platforms (azure, aws, gcp),etl processes,pipeline creation,etl,azure,cloud services,big data engineering,data security
Employment Type
Full Time
Key Skills
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