Data Engineer

Job Description : Data Engineer

As a Data Engineer, you will own the end-to-end lifecycle of our data infrastructure. You will

design and implement robust, scalable data pipelines and architect modern data solutions

using a best-in-class technology stack. Your work will transform raw, messy data into clean,

reliable, and actionable data products that power decision-making across the business.

You’ll collaborate cross-functionally with product managers, data analysts, data scientists,

and software engineers to understand data needs and deliver high-performance data

solutions. Your impact will be measured by how effectively data is delivered, modeled, and

leveraged to drive business outcomes.

Key Responsibilities :

• Architect & Build : Design, implement and manage cloud-based data platform using a

modern ELT (Extract, Load, Transform) approach.

third-party APIs using services like AWS Kinesis / Lambda or Azure Event Hubs / Functions.

AWS S3 or Azure Data Lake Storage (ADLS Gen2), using open table formats like Apache

Iceberg or Delta Lake.

understand their needs, model data effectively, and deliver datasets that power our BI

tools (Metabase, Power BI).

Required Skills & Experience (Must-Haves) :

Preferred Skills & Experience (Nice-to-Haves) :