Data Engineer
Summary
An Azure Data Platform Engineer role in Mumbai supporting, automating, and optimizing enterprise-scale data platforms. Day-to-day work spans Infrastructure as Code (Terraform, Ansible), CI/CD with Azure DevOps, automation with Python/PySpark, and administering Azure Databricks, Synapse, and Snowflake.
(Azure Data Platform Engineer)
Location: Mumbai
Exp- 6 to 10 years
Job Description:
We are seeking a highly skilled Azure Data Platform Engineer with expertise in cloud infrastructure automation, DevOps practices, and modern analytics platforms. The ideal candidate will be responsible for supporting, automating, and optimizing enterprise-scale data platforms while ensuring high availability, performance, and operational excellence.
Key Responsibilities
- Design, implement, and maintain Infrastructure as Code (IaC) solutions using Terraform and Ansible.
- Develop and manage CI/CD pipelines using Azure DevOps.
- Automate operational and deployment processes using Python and PySpark.
- Support and administer cloud-based analytics platforms including Azure Databricks, Azure Synapse Analytics, and Snowflake.
- Monitor, troubleshoot, and resolve platform, application, and data pipeline issues.
- Collaborate with Data Engineering teams to optimize platform performance, reliability, and scalability.
- Perform root cause analysis and implement preventive measures for recurring incidents.
- Support database administration activities, including performance tuning, query optimization, and maintenance.
- Ensure adherence to security, compliance, and operational best practices.
- Create and maintain technical documentation, runbooks, and operational procedures.
Required Skills
- 4-7 years of experience in Cloud Engineering, DevOps, Platform Engineering, or Data Platform Support.
- Hands-on experience with:
- Azure DevOps
- Infrastructure as Code (IaC)
- Terraform
- Ansible
- Python / PySpark
- Good understanding of Azure cloud services and resource management.
- Experience supporting production environments with strong troubleshooting skills.
- Knowledge of SQL and database concepts.
- Understanding of Data Engineering concepts and data processing frameworks.
Preferred Skills
- Hands-on experience with:
- Azure Databricks
- Azure Synapse Analytics
- Snowflake
- Databricks certification/accreditation is highly preferred.
- Experience supporting enterprise data engineering environments.
- Strong SQL development and troubleshooting skills.
- Database Administration (DBA) experience.
- Knowledge of data warehousing and modern analytics architectures.
Experience
- 4+ years of experience in Cloud, DevOps, Platform Engineering, or Data Engineering support roles.
- Experience supporting production environments and handling incident management.
- Exposure to large-scale enterprise data platforms is preferred.
Preferred Qualifications
- Azure Certifications.
- Databricks Certification.
- Experience with Agile and DevOps methodologies.