Senior Database Engineer

Cloud & Platform Expertise

• Architect, monitor and manage data platforms in AWS, Azure and Private Clouds, including services like:
  • AWS RDS, Redshift, Glue, S3, Lambda, AWS Aurora, Elasticache, Neptune
  • Azure Managed Instances, Azure VMs with IaaS extension, Azure SQL, Synapse, ADF Data Factory, Blob Storage, Azure Fabric
• Ensure secure, scalable, and cost-effective cloud data infrastructure.
   

Data Engineering & Integration

• Design and maintain robust ETL/ELT pipelines using tools like Airflow, Kafka, Debezium, Qlik
• Support real-time and batch data processing needs across business units.
• Collaborate with application teams to modernize legacy systems and integrate new platforms.

Tooling & Automation

• Develop and maintain automation scripts using PowerShell and other scripting languages.
• Implement CI/CD pipelines for data infrastructure and code deployments.

Preferred Skills & Technologies

• Databases: SQL Server, PostgreSQL, MySQL, Snowflake, Neptune
• Cloud: AWS (RDS, Redshift, Glue, Neptune, Aurora, Scaleout), Azure (SQL VMs, Synapse, Data Factory, Managed Instances, Azure DB, Fabric)
• Data Tools: Kafka, Debezium, Airflow, Qlik, Looker
• Monitoring: New Relic, CloudWatch, Azure Monitor
• Scripting: PowerShell, Python, Bash
• Other: Git, Terraform, Docker, Kubernetes
   

Ideal Candidate Profile

• 6+ years of experience in data engineering, database administration, or infrastructure roles.
• Deep understanding of data architecture, performance tuning, and high-availability systems.
• Strong communication skills with the ability to mentor and inspire.
• Self-starter who thrives with minimal supervision and takes full ownership of responsibilities.
• Committed to diversity, inclusion, and team development.