Senior Data Engineer- Data modelling experience required

We're looking for an experienced and dynamic Data Lead to drive the full lifecycle of our data engineering solutions, from strategic design to hands-on implementation. In this key role, you will be a hands-on architect, building secure and scalable data platforms while mentoring our engineering teams.

Responsibilities

• Design and develop robust, scalable, and secure data architectures that meet business requirements.
• Lead the implementation of data solutions on various cloud platforms (AWS, Azure, and GCP).
• Define and enforce data governance, quality, and security standards.
• Collaborate with data engineers, data scientists, and business stakeholders to understand needs and translate them into technical solutions.
• Evaluate new technologies and tools to improve our data infrastructure and practices.
• Create and maintain detailed documentation of data architecture, data flows, and processes.
• Provide technical leadership and mentorship to junior team members.
• Stay up-to-date with the latest trends and best practices in data architecture and cloud computing.

Qualifications

○     AWS : Redshift, S3, Glue, Athena, and EMR.

○     Azure : Synapse Analytics, Data Lake, Data Factory, and Databricks.

○     GCP : BigQuery, Cloud Storage, Dataflow, and Dataproc.