Data Engineer - SQL/Python

Role Overview:

An exciting opportunity for a Consultant Data Engineer to design, build, and optimize scalable data solutions. The role involves working across data engineering, ETL/ELT, cloud platforms, big data technologies, data warehousing, and production data infrastructure.

Your Future Employer:

A leading global AI and analytics organization working on data engineering, advanced analytics, data governance, MLOps, and Generative AI solutions. The organization offers a collaborative environment where professionals can work on complex data challenges and continuously develop their expertise.

Responsibilities:

- Design, build, and optimize ETL/ELT pipelines for batch and streaming data.

- Develop and maintain data warehouses and data lakes.

- Build and manage data orchestration workflows.

- Implement data modeling, partitioning, and performance-tuning best practices.

- Monitor and troubleshoot data infrastructure issues in production.

Requirements:

- 5+ years of experience in Data Engineering or a related role.

- Strong proficiency in SQL and Python, with Scala/Java experience also considered.

- Hands-on experience with AWS cloud platforms.

- Experience with big data technologies such as Spark, Kafka, or dbt.

- Strong understanding of data warehousing concepts and dimensional modeling.

- Good understanding of CI/CD and Git/version control.

What is in it for you?:

- Opportunity to work on large-scale data engineering initiatives.

- Exposure to cloud, big data, streaming, and modern data platforms.

- Opportunity to work with cross-functional teams including data scientists, analysts, and product teams.

- Collaborative environment focused on continuous learning and innovation.