Our client is the global provider who is transforming the healthcare market through connecting surgeons in real-time. The company is currently operating out of three hubs US, UK, and the Middle East to serve customers across the world.
They are looking for a data engineer based in Beirut to join their data engineering team. As they grow as a company, their data becomes more important than ever. They need to expose it to make analytical decisions, store it securely, move it between different systems, all the while ensuring that we adhere to healthcare and data protection regulations.
Working as a data engineer, you would be part of a team working on:
Managing and improving our cloud data lakehouse for analytic and aggregate data.
Building data pipelines.
Developing foundations for handling larger volumes of streaming data.
Manage our cloud data infrastructure using IaC tooling.
Assist teams on integrating with the data lake and consuming from it.
Developing customer-facing data products, such as APIs and data timelines
Help develop our machine learning data capabilities.
You’ll be working closely with the other development teams and colleagues outside engineering.
They're open to candidates who are passionate about technology and excited by their mission. If you do not meet all the below and believe you can make a difference please still get in touch.
BSc in Computer Science or equivalent.
Minimum of 2+ years as a Data Engineer with experience developing and supporting with datalakes, warehouses or preferably even a data lakehouse.
Experience with data pipelines.
Data visualisation experience.
Experience across AWS products such as S3, Glue, EMR, Lambda, Aurora, or other databases.
Able to work as a team to deliver against requirements in a collaborative and agile way.
Ability to communicate across teams to deliver the best outcome for all.
Nice To Have
Experience with pipelines and visualisations of commercial, sales and financial data.
Certification from a major cloud provider, ideally AWS Certified Solutions Architect (Associate or higher).
Experience in creating data systems compliant with HIPAA, GDPR and related frameworks.
Experience of testing, CI and monitoring data-driven applications.
Experience working with third-party APIs.
Experience with dbt, Snowflake or DataBricks.
Experience with orchestration tools e.g., Airflow.
Experience with messaging and event-processing platforms.