Data Engineer

About the Company

We are partnering with a leading global technology solutions and digital transformation enterprise. Renowned for driving large-scale digital innovation, process intelligence, and enterprise AI accelerators, our client empowers Fortune 500 companies worldwide to optimize performance and transform at scale.

About the Role

We are looking for a skilled Data Engineer to build, scale, and optimize core data pipelines and analytics architecture. In this role, you will design robust ETL workflows, manage data lake/warehouse solutions, and collaborate closely with data science and analytics teams to support advanced business intelligence and AI initiatives.

Responsibilities

• Data Pipeline Engineering
• Design, build, and deploy reliable data ingestion and transformation processes (ETL/ELT) to load complex datasets into cloud data warehouses and lakes.
• Storage & Architecture Optimization
• Optimize data storage, schema design, and query performance to ensure seamless retrieval and scalability.
• Data Quality & Integrity
• Maintain high data quality standards, establishing monitoring and troubleshooting protocols to quickly resolve pipeline issues.
• Cross-Functional Collaboration
• Work alongside data scientists, product managers, and business analysts to translate business requirements into efficient, production-ready datasets.
• Continuous Innovation
• Research, evaluate, and integrate emerging cloud technologies and data engineering tools to optimize pipeline efficiency and performance.

Qualifications

• Education
• Bachelor’s or Master’s degree in Computer Science, Data Science, Business Analytics, Statistics, or a related technical field.

Required Skills

• Core Technical Expertise
• Strong hands-on experience in Data Engineering and building scalable pipelines.
• Proficiency in cloud data platforms such as Snowflake or Databricks (Apache Spark).
• Experience with cloud computing platforms (e.g., Azure, AWS, or GCP) and modern ETL frameworks.
• Solid understanding of data warehousing concepts, relational databases, and data literacy principles.
• Methodologies & Soft Skills
• Practical experience working within Agile/Scrum environments.
• Strong problem-solving abilities, communication skills, and data storytelling capabilities.
• Fluency in professional English (written and spoken).

Preferred Skills

• Preferred Certifications (Bonus)
• Azure Data Engineer Associate, Databricks Certified Associate Developer, CDMP, or equivalent database certifications.