About the job
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.