Digitalization Engineer

LNT/DE/1584099

HYOF-L&T Energy Hydrocarbon - OffshoreAMN Tower, Powai

Role Overview:

We are seeking a skilled Data Science Engineer to design, develop, and deploy advanced data solutions leveraging Microsoft Azure services/ AWS . The ideal candidate will have strong expertise in cloud architecture, data engineering, machine learning, and ensuring scalable and secure data pipelines and AI models for business insights.

Key Responsibilities:

• Data Engineering & Integration:

  • Design and implement data pipelines using Azure Data Factory, Azure Synapse Analytics, and Azure Databricks.
  • Integrate structured and unstructured data from multiple sources into Azure-based data lakes and warehouses.

• Machine Learning & AI Development:

  • Build and deploy ML models using Azure Machine Learning and Python/R.
  • Optimize model performance and manage lifecycle with MLOps practices.

• Cloud Architecture & Optimization:

  • Architect scalable solutions using Azure Storage, Azure SQL Database, and Azure Kubernetes Service (AKS).
  • Ensure cost optimization and performance tuning across Azure resources.

• Security & Compliance:

  • Implement data governance, security policies, and compliance standards (GDPR, HIPAA, etc.).
  • Manage role-based access and encryption for sensitive data.

• Collaboration & Documentation:

  • Work closely with data scientists, analysts, and business stakeholders to deliver actionable insights.
  • Document workflows, architecture diagrams, and best practices.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• 3+ years of experience in Azure Data Services and Cloud-based Data Engineering.
• Hands-on experience with Azure Machine Learning, Data Factory, Synapse, and Databricks , AWS
• Strong understanding of ETL processes, data modeling, and big data frameworks
• Excellent problem-solving and communication skills.