HamburgerMenu
hirist

Job Description

Description :



We are looking for sharp, hands-on Data Engineers with strong technical depth and a passion for building scalable, high-performance data solutions across modern cloud ecosystems. The ideal candidate will have extensive experience in designing, developing, and optimizing data pipelines, models, and platforms that power advanced analytics, reporting, and data-driven applications.



Key Responsibilities :



- Design, develop, and optimize scalable ETL/ELT pipelines using Python, SQL, and PySpark


- Build and manage data warehousing solutions on cloud platforms such as Azure or AWS


- Develop robust and efficient data models, including dimensional modeling, star schemas, and data marts


- Work with modern cloud data platforms such as Databricks and Snowflake


- Ensure data quality, reliability, and governance across the data lifecycle


- Collaborate with cross-functional teams to understand data needs and translate them into scalable technical solutions


- Troubleshoot and resolve performance bottlenecks in data workflows and cloud environments


- Implement best practices in data architecture, pipeline orchestration, and cloud-native design



Required Skills & Experience :



- 6- 10 years of hands-on experience in Data Engineering


- Strong proficiency in SQL, Python, and PySpark


- Solid understanding of data warehousing concepts and cloud-based implementations


- Experience with Azure/AWS data ecosystems


- Strong expertise in data modeling for analytical and enterprise environments


- Hands-on experience with Databricks and/or Snowflake


- Strong analytical thinking, debugging ability, and problem-solving skills


info-icon

Did you find something suspicious?