Data Integration Specialist

4 days ago

Hyderabad Secunderabad Telangana Pune Chennai, India beBeeData Full time ₹ 12,00,000 - ₹ 24,00,000
Job Title: Data Integration Specialist
  • Key Responsibilities:

Data Integration and Pipeline Development: We are looking for a skilled data integration specialist to design and implement efficient data pipelines that support our training and finetuning of knowledge base and user data.

Data Processing and Transformation: The ideal candidate will develop data transformation processes to prepare data for Natural Language Processing (NLP) models, ensuring personalized and accurate health recommendations.

Privacy and Security Compliance: Our team requires an individual who ensures all data handling practices comply with privacy and security standards, focusing on user data protection within AI model training and deployment.

Infrastructure Setup and Management: Build and maintain foundational cloud infrastructure on GCP to host, deploy, and scale securely and efficiently across platforms.

Collaboration with AI and DevOps Teams: Partner with AI/ML and DevOps teams to finetune, test, and optimize NLP models for production, focusing on deployment performance and user experience.Website and Mobile Integration Support: Work alongside frontend developers to ensure smooth data flow and integration between the backend, website, and mobile app.Monitoring and Optimization: Implement monitoring, logging, and automated alerts to ensure data pipelines, model interactions, and infrastructure meet performance and reliability requirements.Qualifications
  • Education: Bachelor's or Master's in Computer Science, Data Engineering, or a related field.
  • Experience:
  • 3+ years in data engineering, preferably within Generative AI or NLP-focused projects.
  • Hands-on experience with Google Cloud Platform (GCP), including BigQuery, Dataflow, and Cloud Storage.
  • Proven ability in data pipeline design and data transformations for AI model training.
  • Skills:
  • Strong programming skills in Python and familiarity with SQL.
  • Experience with DevOps tools (e.g., Kubernetes, Docker) and CI/CD pipelines in GCP.
  • Proficient in data management practices, data privacy, and security protocols.
  • Familiarity with AI/ML workflows, specifically NLP model training and finetuning.
What We Offer
  • Opportunity to work with cutting-edge technologies in data engineering.
  • Collaborative and dynamic work environment.
  • Professional development opportunities.
How to Apply
  • Send your resume and cover letter to us.

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