Description

You will lead the design and implementation of scalable data solutions.

This role is remote.

Responsibilities

• Design, develop, and implement data pipelines using PySpark and SQL.
• Translate business requirements from cross-functional teams into data solutions.
• Design and implement data warehousing solutions ensuring performance and scalability.
• Mentor junior engineers on coding, design, and development best practices.

Required Skills

• 12+ years of overall IT industry experience.
• 4+ years dedicated to data engineering, building large-scale solutions.
• Proven expertise in SQL for querying and manipulating large datasets.
• Hands-on experience with PySpark.
• Experience developing pipelines using the Azure stack (Azure, ADF, Databricks, Functions).
• Strong knowledge of ETL processes and data warehousing fundamentals.
• Experience with ADLS and Databricks.

Preferred Skills

• Databricks Certification.
• Data Modeling.

Key Skills

Education

Any Graduate