Description

You will lead the design, development, and deployment of data infrastructure while ensuring high data quality and business alignment.

This role is hybrid.

Responsibilities

• Design and implement data solutions that meet business requirements and industry standards.
• Manage data quality through cleansing, integration, validation, and consistency checks.
• Collaborate with stakeholders to define requirements and translate them into technical data solutions.
• Oversee the data engineering team, providing guidance and feedback on project execution.

Required Skills

• 5+ years of experience in data engineering and data architecture.
• Strong proficiency in SQL/NoSQL databases and querying languages.
• Experience with ETL tools for data extraction, transformation, and loading.
• Knowledge of data modeling principles and best practices.
• Ability to perform business analysis to understand and define data needs.
• Bachelor's degree in Computer Science, Information Systems, or a related field.

Preferred Skills

• Experience with big data technologies like Hadoop and Spark.
• Familiarity with cloud platforms including AWS, Google Cloud, or Azure.
• Background in database testing for functionality, performance, and security.

Key Skills

Education

Any Graduate