Description:

Seeking an accomplished Data Engineer to design, build, and evolve scalable data pipeline architecture.
Responsible for ensuring reliable, high-quality data delivery across the organization and supporting analytics and business decision-making.

Requirements:

2–4 years of professional experience in Data Engineering, Data Warehousing, or related roles.
Strong hands-on experience with Python and SQL for building scalable data pipelines.
Experience with Apache Spark, Parquet, and Azure Databricks.
Strong SQL expertise including performance tuning and query optimization.
Solid understanding of ETL/ELT methodologies and data warehousing principles.
Experience with BI tools such as Sisense.
Familiarity with CI/CD pipelines and version control practices.
Strong communication skills for collaboration across stakeholders.

Opportunity to evolve and enhance a modern data platform.
Work in a dynamic environment with a focus on continuous improvement and strong engineering standards.

Skills