Description

You will design, build, and deploy data solutions and ingestion pipelines to optimize statistical efficiency and quality.

Responsibilities

• Design and build data and analytics architectures to enable business outcomes.
• Develop and deploy data solutions using Python, Pandas, and PySpark.
• Create data ingestion pipelines and implement validation, cleansing, and transformation processes.
• Collaborate with stakeholders to identify business requirements and maintain existing solutions.
• Troubleshoot technical issues and provide effective resolutions.

Required Skills

• 3+ years of experience designing and implementing data solutions.
• Proficiency in Python, Pandas, and PySpark.
• Experience with Azure or AWS cloud platforms.
• Strong knowledge of SQL and database management.
• Solid understanding of Data Modelling.
• Experience implementing end-to-end Data Engineering principles.
• Ability to work as both an individual contributor and a team leader.

Preferred Skills

• Experience with Databricks and Azure Synapse.
• Experience with big data technologies.

Key Skills

Education

Bachelor's degree in Computer Science, Information Technology