Data Engineer

Technical skills requirements

The candidate must demonstrate proficiency in,

• Minimum 6 years' experience with Python
• Minimum 6 years' experience with SQL
• Minimum of 6 years’ experience working with AWS Cloud Data Platform
• Experience with the following AWS Services ECR, S3, EC2, VPC, Route 53, Lambda, API Gateway, AWS Glue, Event Bridge, Cloud Watch, IAM, RDS, Back up Services, Systems Manager.
• Familiarity with tools like Databricks, Snowflake, or AWS Redshift Spectrum.
• 2+ years of experience in Snowflake & DBT
• Implementation and management of cloud infrastructure using IaC tools (Terraform scripting)
• Participate in business process analysis, use case creation, and requirements definition.
• Familiarity with writing GitLab CI/CD pipelines and creating deployment automations.
• AWS Certified Data Analytics or Solutions Architect certification preferred.
• Experience with hybrid data architecture combining on-premises and cloud data systems.

Nice-to-have skills

• Motivated self-starter team player who is organized and methodical
• Good database skills in either SQL Server or Oracle
• Good data analysis and presentation skills
• Performance tuning of queries and report calculations
• Knowledge of best practice architectures: Periodic out of hours’ support is part of your responsibility, particularly around software releases, major infrastructure changes and support calls