DESCRIPTION:

As a Data Engineer, you’ll design and maintain data scrapers and data pipelines, design & optimize analytics & relational databases, and build analytics models using DBT and bespoke aggregation engines. You’ll work closely with business stakeholders, other BI Developers and DataOps as well as System engineers to support both data and application integrations using bespoke tools written in Python/Java, as well as tools such as Meltano, Airflow, Mulesoft/Snaplogic, Apache NIFI, and Kafka, ensuring a robust, well-modelled, and scalable data analytics infrastructure running on MySQL and Postgres style databases primarily.

DESIRABLE SKILLS / EXPERIENCE:

• Experience with infrastructure-as-code tools such as Terraform and Ansible
• Experience with version control (e.g. Git, SVN) and CI/CD workflows for deployment
• Experience scraping external data sources using Beautiful Soup, Scrapy, or similar
• Familiarity with Database Replication & CDC technologies such as Debezium
• Familiarity with message & event-driven architecture, including tools like AWS MQ, Kafka
• Exposure to cloud database services (e.g., AWS RDS, Snowflake)

Please refer the Job description for details