Job Title: Azure Cloud Engineer

Location: Hyderabad

Job Type: Full-time

Job Summary

As an Azure Cloud Engineer, you will be responsible for designing, implementing, and managing cloud-based systems for organizations. You will play a crucial role in helping organizations transition to cloud-based systems, ensuring efficient data storage and processing, and maintaining robust security measures. The ideal candidate will have experience in building secure, scalable, and compliant cloud infrastructures for various types of industries, including healthcare.

Responsibilities

• Azure environment configuration:
  
  • Design, implement, and manage the Azure environment to support the Data Lake architecture to ensure enterprise scalability and performance while following Microsoft's Cloud Adoption Framework (CAF) and Well-Architected Framework.
  • Build and maintain secure infrastructure for cloud data lake using Azure services and Databricks Lakehouse architecture.
  • Establish best practices for multi-account architecture, networking, identity, and access management (IAM) within Azure. Establish secure connectivity between on-premises and cloud environments.
  • Set up and manage Azure policies, blueprints, and resource hierarchies to ensure governance and cost optimization.
  • Implement and maintain Infrastructure-as-a-Code (IaC) using tools like Terraform, ARM templates, or Bicep for Azure Landing Zone automation.
  • Design and implement monitoring, logging, and alerting solutions to ensure the reliability and security of the cloud infrastructure.
  • Optimize infrastructure to support performance and cost efficiency across environments (development, staging, production).
• Compliance
  
  • Architect a highly secure infrastructure in compliance with industry standards. E.g., configure the environment in alignment with healthcare regulations and implement robust security mechanisms for PII/PHI data and other data privacy/data security standards.
  • Implement HIPAA-compliant security controls and data governance frameworks. points icon Work closely with security teams to establish and implement data encryption, key management, and role-based access controls (RBAC) for data security.

Required Skills and Qualifications

• Experience:
  
  • 7+ years of experience in cloud infrastructure engineering, with at least 5 years focused on Azure.
  • Expertise in cloud infrastructure security with a strong understanding of HIPAA compliance and PII/PHI data privacy/data protection.
  • Proven experience in architecting and managing Azure environments for single/multi-tenant, large-scale enterprise applications.
  • Experience with Databricks Lakehouse or similar big data solutions in Azure, and Azure services, including Azure AD, Azure Storage, Azure Security Center, Azure Policy, and Azure Networking.
  • Proficiency in configuring network security groups, firewalls, and identity management in Azure.
  • Strong understanding of disaster recovery and backup solutions within Azure environments.
  • Familiarity with CI/CD pipelines and cloud automation tools for deploying and managing infrastructure.
• Educational Background: Bachelor’s degree in Computer Science, Information Technology, or a related field from tier-1 or tier-2 colleges.
• Analytical Skills: Strong analytical abilities to interpret trends and patterns in complex datasets.
• Communication Skills: Excellent verbal and written communication skills for collaborating with team members.

Preferred Qualifications

• Azure Solutions Architect certification or similar cloud-related certifications.
• Experience with Healthcare data environments and HIPAA-compliant architectures.
• Experience with other cloud platforms (AWS, GCP), knowledge of container orchestration (AKS).
• Familiarity with data lake security patterns.
• Understanding of modern data architecture principles.
• Experience with cloud cost optimization.

Benefits

• Competitive salary and performance bonuses.
• Opportunities for professional development and certifications.
• A collaborative work environment with a focus on innovation.
• Direct access to decision-makers in the industry.

How to Apply

If you are passionate about data engineering and eager to develop your skills in a supportive environment, please submit your resume and cover letter to careers@bridgehorn.com. We look forward to hearing from you! This job description outlines the essential elements needed for a Data Engineer role, emphasizing both technical skills and opportunities for growth within the company.

Job Title: Data Engineer

Location: Hyderabad

Job Type: Full-time

Job Summary

As a Data Engineer, you will assist in the development, maintenance, and optimization of our data infrastructure. You will work closely with senior engineers and data scientists to ensure that our data systems are efficient, reliable, and scalable.

Responsibilities

• Database/data warehouse development: Strong understanding of SQL and designing efficient queries, conceptual understanding of tabular data model and its development, etc.
• Pipeline development: Assist in building and maintaining data pipelines for etl (extract, transform, load) processes using various tools and techniques in Azure (data factory, data bricks, DevOps, and storage accounts) & snowflake environments.
• Data lake development: Assist in developing the medallion framework for persisting, transforming, and creating data models. Depending on the data extraction frequency, design appropriate approaches for data ingestion I.E., full versus incremental data loads.
• Data transformation: Clean and process raw data to make it suitable for analysis.
• Data visualization: Build powerful dashboards and reports in Power BI, Tableau, or any other BI tool.
• Data quality assurance:
  Help implement processes to monitor data quality and integrity.
• Documentation: Document data processes and workflows for knowledge sharing.
• Collaboration: Work with data analysts and software engineers to understand data requirements and deliver relevant datasets.
• Learning and Development: Continuously learn new tools and technologies in the field of data engineering.

Required Skills and Qualifications

• Educational Background: Bachelor’s degree in computer science, information technology, or a related field from tier-1 or tier-2 colleges.
• Programming Skills: Excellent skills in SQL & python are essential for this role.
• Data Management: Basic understanding of database management systems, data warehouses, and data modeling is essential for this role.
• Communication Skills: excellent verbal and written communication skills for collaborating with team members.
• Analytical Skills:Strong analytical abilities to interpret trends and patterns in complex datasets.
• Communication Skills: Excellent verbal and written communication skills for collaborating with team members.

Preferred Qualifications

• Experience with cloud platforms (e.G. Azure, snowflake, AWS) is a plus.
• Familiarity with big data technologies (e.g., Hadoop, Spark, Scala, etc.) is advantageous but not required.
• Previous internship or project experience related to data engineering is preferred.

Benefits

• Competitive salary and performance bonuses.
• Opportunities for professional development and certifications.
• A collaborative work environment with a focus on innovation.
• Direct access to decision-makers in the industry.

How to Apply

If you are passionate about data engineering and eager to develop your skills in a supportive environment, please submit your resume and cover letter to careers@bridgehorn.Com. We look forward to hearing from you! This job description outlines the essential elements needed for a Data Engineer role, emphasizing both technical skills and opportunities for growth within the company.