Senior Consultant – Cloud Data Engineer – Azure

1 day ago

Gurgaon, Haryana, India Sirius AI Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Key Responsibilities:

  • Design, develop, and manage scalable, secure, and efficient data pipelines on Azure to process and transform large datasets from multiple sources.
  • Implement and optimize Azure data services such as Azure Synapse Analytics, Azure Data Lake Storage (ADLS), Azure SQL Database, Azure Data Factory (ADF), Azure Databricks, and Azure Functions.
  • Architect and maintain ETL/ELT processes to ensure efficient data ingestion, transformation, and storage.
  • Architect and implement data models on Azure platforms to support efficient data storage and retrieval.
  • Collaborate with data architects to design and implement data lakes, data warehouses, and data marts on Azure.
  • Build and maintain data integration workflows using tools like Azure Data Factory (ADF) or Azure Synapse Pipelines.
  • Utilize Azure DevOps for source control, build automation, release management, and Infrastructure as Code (IaC) using ARM templates, Terraform, or Bicep.
  • Implement CI/CD pipelines within Azure DevOps to automate the build, test, and deployment of data pipelines and infrastructure.
  • Leverage big data technologies and frameworks such as Azure Databricks (Apache Spark) for large-scale data processing and analytics.
  • Implement real-time/streaming data solutions using Azure Event Hubs, Azure Stream Analytics, or Kafka on Azure.
  • Implement data governance policies and security controls within Azure environments to ensure compliance with GDPR, HIPAA, PCI DSS, and organizational security requirements.
  • Optimize data pipelines and workflows for performance, scalability, and cost-effectiveness, leveraging Azure Monitor, Cost Management, and Advisor.
  • Monitor, troubleshoot, and optimize performance of Azure-based data pipelines and systems to ensure high availability and scalability.
  • Work closely with cross-functional teams to translate business requirements into robust Azure data solutions.
  • Conduct regular code reviews, provide feedback, and ensure adherence to best practices and standards.
  • Keep up to date with the latest Azure cloud services and data technologies to drive innovation within the team.

Job Qualifications:

  • Bachelor's degree in computer science engineering, or a related field.
  • 4-6 years of experience as a Cloud Data Engineer or similar role, with a strong focus on Azure cloud services.
  • Proficiency in designing and building scalable data architectures using Azure data services such as ADLS, Synapse, Data Factory, Azure SQL, Azure Functions, Databricks.
  • Strong experience with ETL/ELT frameworks such as ADF, Synapse Pipelines, or Databricks workflows.
  • Expertise in SQL, Python, or other data engineering languages.
  • Hands-on experience with data lakes, data warehouses, and data orchestration on Azure.
  • Familiarity with CI/CD pipelines and IaC tools such as ARM templates, Terraform, or Bicep.
  • Understanding of data governance, security, and compliance standards (encryption, Azure RBAC, Key Vault, VNETs).
  • Experience in data modeling, performance tuning, and optimization for Azure-based solutions.
  • Azure certifications such as Azure Data Engineer Associate, Azure Solutions Architect Expert, or Azure Developer Associate are preferred.
  • Experience with Azure Databricks, Apache Spark, or ML integrations is desirable.
  • Familiarity with containerization and DevOps practices using Docker, Kubernetes (AKS).
  • Excellent communication and collaboration skills to work effectively with stakeholders.
  • Strong problem-solving and troubleshooting abilities in Azure ecosystems.
  • Ability to thrive in a fast-paced, agile environment and manage multiple priorities.

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