Senior Data Engineer

Role & responsibilities

What You'll Do:

🔧 Design, develop, and maintain scalable data pipelines.
📈 Collaborate with data scientists and analysts to understand data requirements.
🛠️ Implement ETL processes for efficient data processing.
📊 Monitor and optimize database performance.
🔍 Ensure data integrity and security across all platforms.
💡 Stay up to date with emerging technologies in the data engineering field.

Preferred candidate profile

✅ Minimum 5 years of experience as a Data Engineer or similar role.
✅ Advanced proficiency in Python, including experience with data processing libraries (e.g. Pandas) and automation.
✅ Data Engineering: Solid understanding of data warehousing, ETL/ELT processes.
✅ Cloud Expertise: Strong experience with AWS, including services like S3, Glue, Lambda, and SageMaker.
✅Experience with data visualization and BI tools such as Tableau or Meta base.
✅ DevOps: Experience with DevOps practices, including CI/CD pipelines, Infrastructure as Code (Terraform, CloudFormation), and monitoring (CloudWatch).

Perks and benefits

• Flexible working hours
• Interaction with global clients
• Health insurance
• Work from home set-up