Engineer - Data Engineer

Architect of Solutions: Lead the design, development, and enhancement of scalable ETL pipelines and Data Products, as part of a Data Mesh inspired strategy.

Technical Expertise: Demonstrate your expertise in ELT solutions (DBT, Snowflake), Python and AWS ecosystems to deliver exceptional solutions.

Collaborative Spirit: Work hand-in-hand with global and diverse Agile teams, from data to design, to overcome technical data challenges.

Innovate & Inspire: Stay ahead of the curve by integrating the latest industry trends and innovations into your work such as GenAI.

Tools:

ETL Tools: Master tools like Python and explore preferred technologies such as DBT and Snowflake.

Databases: Utilize your SQL prowess across platforms like Snowflake, Postgres.

AWS Cloud Expertise: Bring your AWS knowledge to life with services like Lambda, S3, Athena, Step Functions and more.

Essential Skills/Experience

• 3 to 6 years experience
• A proactive mindset and enthusiasm for Agile environments.
• Strong hands-on experience with cloud providers and services.
• Experience in performance tuning SQL and ETL pipelines.
• Extensive experience in troubleshooting data issues, analyzing end-to-end data pipelines and in working with users in resolving issues.
• Masterful debugging and testing skills to ensure excellence in execution.
• Inspiring communication abilities that elevate team collaboration.
• Experience of structured, semi-structured (XML, JSON) and unstructured data handling including extraction and ingestion via web-scraping and FTP/SFTP.
• Production experience delivering CI/CD pipelines (Github, Jenkins, DataOps.Live).
• Excellent Cloud Devops Engineer who can develop, test and maintain CICD Pipeline using Terraform, cloud formation.
• Remain up to date with latest technologies, like GenAI / AI platforms and FAIR scoring to improve outcomes