Data Engineer

This role focuses on designing, building, and maintaining robust data pipelines and infrastructure to support data-driven decision-making. The Data Engineer will work closely with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and optimized for various analytical needs.

Key Responsibilities:

Design and implement scalable data pipelines using modern data engineering tools and technologies.
Develop and maintain data models, ETL processes, and data warehousing solutions.
Ensure data quality and integrity through rigorous testing and monitoring.
Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.
Optimize data infrastructure for performance and cost-effectiveness.

Requirements/Qualifications:

Strong understanding of data engineering principles and best practices.
Experience with cloud platforms, such as Google Cloud Platform (GCP).
Proficiency in data transformation tools like dbt.
Experience with data warehousing technologies.
Excellent problem-solving and communication skills.

About the Company:

HCLTech is a global technology company that helps businesses transform and thrive in the digital age. They provide a wide range of technology services and solutions to clients across various industries, focusing on innovation and customer success.