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Data Engineer/ Databricks
RARR Technologies
posted 15d ago
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Flexible timing
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Job Description
- Hands-on experience in Azure Cloud services, Networking Concepts, Security - Cloud and on-premises system, Deployment using Azure DevOps, Azure Cloud Monitoring and Cost controls and Terraform - hands-on experience
- CI/CD Pipeline Management: Design, implement, and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines using Azure DevOps and GitHub. Ensure the pipelines are efficient, reliable, and scalable.
- Infrastructure as Code (IaC): Automate the provisioning and management of infrastructure, with a focus on Azure Databricks and Azure Data Factory in a private network environment, using tools like Terraform and ARM templates.
- Environment Management: Create and manage development, testing, and production environments, ensuring consistency, security, and alignment with organizational requirements.
- Security: Implement security best practices throughout the CI/CD pipeline, including secrets management, secure code scanning, and compliance with security standards.
- Monitoring & Logging: Set up and maintain monitoring and logging for applications and infrastructure using Azure Monitor, Log Analytics, and related tools to ensure system reliability and performance.
- Automation: Identify opportunities for automation to streamline processes, reduce manual errors, and improve operational efficiency.
- Policy Enforcement: Establish and enforce policies such as branch policies, pull request reviews, and pipeline approvals to maintain code quality and compliance with organizational standards.
- Manage and maintain Azure Databricks Platform, workspaces, clusters, and jobs
- Oversee user administration including access controls and permissions
- Handle library installations, runtime management, and policy enforcement
- Implement/analyze cost control measures
- Administer Unity Catalog for data governance and security
- Collaborate with data engineers, data scientists, and analysts to optimize and streamline data workflows, and analytical pipelines on the Databricks platform
- Manage Azure storage solutions, including Blob Storage and Data Lake Storage
- Administer Azure Key Vault for secure storage of secrets and keys
- Configure and manage Azure Data Factory for data integration and ETL processes
- Implement and manage VNETs, firewalls, Azure policies and security best practices
- Set up budgets and alerts to monitor and control Azure costs and spend
- Configure alerts for proactive issue detection and resolution
- Databricks Lakehouse Monitoring
Minimum Qualifications
- Minimum of Bachelors degree in Computer science, Information systems, or Engineering
- Experience: 7+ years of professional experience in DevOps, with a strong focus on Azure. Knowledge of Data Platforms like Databricks, Data Factory (preferred)
- Proficiency in scripting languages such as Python/PySpark, PowerShell, or Bash
- Experience in automating administrative tasks and workflows
- Knowledge of security best practices and compliance requirements
- Experience with ETL processes, data pipelines, and big data technologies
- Experience with backup and restore procedures for Databricks and Azure services
- Ability to troubleshoot and resolve issues in a timely and efficient manner
- Strong verbal and written communication skills
- Ability to document processes, procedures, and configurations clearly
- Commitment to providing high-quality support to internal/external users and stakeholders
- Ability to understand and address the needs of internal and external customers
- Team player with the ability to work collaboratively with cross-functional teams
- Flexibility to adapt to changing requirements and priorities
- Offshore data engineer with Databricks ML (leverage Python skill to train as needed).
- Continuous Learning: Eagerness to learn new technologies and continuously improve skills to stay current in a rapidly evolving field.
Preferred Qualifications
- Offshore data engineer with Databricks ML (leverage Python skill to train as needed).
- Deep understanding of Databricks architecture, features, and best practices
- Experience with Delta Lake and Databricks SQL for advanced data management
- Experience in performance tuning and optimization for both Databricks and Azure environments
- Experience supporting/administering data science and ML workloads in Databricks
- Knowledge of disaster recovery planning and implementation
- Experience integrating Databricks with other data platforms and tools
- Understanding of hybrid and multi-cloud environments
- Experience implementing data protection measures and ensuring regulatory compliance
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
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RARR Technologies Faridabad Office Location
Faridabad Office
Headquarter
119, VARDHMAN STAR MALL, SECTOR 19
Faridabad
121002
121002
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