Description

Build and maintain data pipelines and warehousing solutions to drive business efficiency.

This role is on-site.

Responsibilities

• Develop and maintain data pipelines using AWS, Python, and PySpark.
• Utilize Snowflake for efficient and secure data warehousing solutions.
• Write and optimize SQL queries to extract and manipulate data for reporting.
• Implement Unix scripts to automate routine tasks and improve system performance.
• Analyze complex data sets to identify trends and translate business needs into technical requirements.

Required Skills

• 5 to 7 years of experience in data engineering roles.
• Hands-on experience with AWS for deploying and managing cloud-based solutions.
• Proficiency in Python and PySpark for data processing and analysis.
• Extensive experience with Snowflake for data warehousing.
• Strong expertise in SQL for database management and query optimization.
• Experience with Unix scripting for automation and system optimization.
• Bachelor's degree in Computer Science or Information Technology.

Preferred Skills

• Experience conducting regular reviews of data quality and integrity.
• Ability to implement corrective actions for data issues.

Key Skills

Education

Any Graduate