Description

You will architect, build, and maintain data solutions to streamline operations and ensure scalability.

This role is on-site.

Responsibilities

• Design and implement efficient data pipelines and ETL processes for complex datasets.
• Develop and optimize data models to support reporting, analytics, and machine learning.
• Collaborate with data scientists, analysts, and business stakeholders to implement data requirements.
• Monitor, troubleshoot, and optimize data workflows for performance and reliability.
• Ensure data integrity and compliance with industry standards.

Required Skills

• 5+ years of hands-on experience in data engineering roles.
• Proficiency in Python and SQL.
• Experience with ETL processes and Apache Spark.
• Hands-on experience with AWS services including S3, Redshift, and Lambda.
• Knowledge of Data Warehousing and Big Data technologies.
• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• Strong problem-solving and communication skills.

Key Skills

Education

Bachelor's or Master's degrees