VS01701 - Database & Data Platform Engineer

E4 Software Services Pvt Ltd.

Bengaluru

On-site

INR 1,500,000 - 1,900,000

Full time

14 days+
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Job summary

E4 Software Services Pvt Ltd. in Bengaluru is seeking an experienced Database Engineer to administer and optimize enterprise data platforms across on-prem and cloud environments.

You will partner with software engineers to ensure scalable, reliable databases, implement backup/DR strategies, and drive improvements in performance and availability. The role requires 5+ years in database engineering or DBA/DevOps, proficiency with SQL Server or SAP HANA, and hands-on scripting (Python, Bash,

Qualifications

  • 5+ years in Database Engineering, DBA, Data Platform Engineering or Database DevOps.
  • Experience with SQL Server or SAP HANA.
  • Knowledge of backup, recovery, HA and DR.
  • Experience with AWS, Azure or GCP.
  • Strong SQL knowledge and scripting (Python/PowerShell/Bash).
  • IaC using Terraform, Ansible or CloudFormation.
  • Production database support and incident management.

Responsibilities

  • Administer and support enterprise databases and data platforms.
  • Perform database installation, configuration, upgrades, patching and performance tuning.
  • Design and maintain high availability and disaster recovery solutions.
  • Manage backup, recovery, capacity and database lifecycle activities.
  • Support database migration and modernization initiatives across cloud environments.
  • Automate database administration and operational activities using scripting and IaC tools.
  • Monitor database health, performance and availability.
  • Troubleshoot database incidents and perform root cause analysis.
  • Support containerized and cloud-native database environments.
  • Work with engineering teams on database architecture and platform optimization.
  • Support data ingestion, ETL/ELT and scalable data processing requirements where applicable.
  • Maintain operational documentation and database runbooks.

Skills

Database engineering
DBA/DevOps
SQL knowledge
Python scripting
Shell scripting
Automation/IaC

Tools

AWS
Azure
GCP
Terraform
Ansible
CloudFormation
Kubernetes

Job description

  • Administer and support enterprise database and data platforms.
  • Perform database installation, configuration, upgrades, patching and performance tuning.
  • Design and maintain high availability and disaster recovery solutions.
  • Manage backup, recovery, capacity and database lifecycle activities.
  • Support database migration and modernization initiatives across cloud environments.
  • Automate database administration and operational activities using scripting and IaC tools.
  • Monitor database health, performance and availability.
  • Troubleshoot database incidents and perform root cause analysis.
  • Support containerized and cloud-native database environments.
  • Work with engineering teams on database architecture and platform optimization.
  • Support data ingestion, ETL/ELT and scalable data processing requirements where applicable.
  • Maintain operational documentation and database runbooks.
Mandatory Skills
  • 5+ years of experience in Database Engineering, DBA, Data Platform Engineering or Database DevOps.
  • Strong experience with at least one enterprise database platform such as Microsoft SQL Server or SAP HANA .
  • Experience with database performance tuning and monitoring.
  • Strong knowledge of backup, recovery, HA and DR.
  • Experience with AWS, Azure or GCP.
  • Strong SQL knowledge.
  • Experience with Linux/Windows administration depending on the database platform.
  • Experience with Python, PowerShell, Bash or Shell scripting.
  • Knowledge of automation/IaC using Terraform, Ansible or CloudFormation.
  • Experience in production database support and incident management.
Good-to-have Skills
  • Databricks and modern data engineering platforms.
  • Hadoop/Cloudera, HBase or Hive.
  • SQL Server Always On.
  • SAP HANA Cloud.
  • Kubernetes and containerized databases.
  • AWS EBS, S3, EC2 or EKS.
  • CloudFormation or ARM templates.
  • Data pipeline development, ETL/ELT and data modeling.
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