VS01701 - Database & Data Platform Engineer

E4 Software Services Pvt Ltd.

Hinoba-an

On-site

PHP 1,200,000 - 1,800,000

Full time

9 hours ago
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Job summary

E4 Software Services Pvt Ltd. is seeking an experienced Database Engineer to administer and support enterprise data platforms. You will install, configure, upgrade, and patch databases, tune performance, and design HA/DR solutions while driving cloud migrations and automation.

You will work with engineering to optimize architecture, support data ingestion and ETL/ELT processes, and maintain runbooks and documentation for reliable operations.

Qualifications

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

Responsibilities

  • 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.

Skills

Database engineering
MS SQL Server
SAP HANA
Performance tuning
Backup & DR
Cloud platforms
SQL
Linux/Windows admin
Scripting
IaC
Production support

Tools

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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