Job Summary :

We are looking for an experienced Cloud Data Engineer to design, develop, and maintain scalable data solutions and pipelines in cloud environments. The role requires strong expertise in Python, Spark, and SQL, along with hands-on experience in cloud-based data engineering.

Key Responsibilities :

- Design and develop scalable data pipelines and ETL/ELT workflows.

- Build and optimize data processing solutions using Python and Apache Spark.

- Develop complex SQL queries for data transformation and analysis.

- Work with cloud-based data platforms, storage, and processing services.

- Perform data integration, transformation, cleansing, and validation.

- Optimize data pipelines for performance, scalability, and reliability.

- Troubleshoot data engineering issues and support production environments.

- Collaborate with data architects, analysts, and business stakeholders to deliver data solutions.

- Follow data engineering best practices, coding standards, and security guidelines.

Must-Have Skills :

- 10 - 12 years of experience in Data Engineering.

- Strong hands-on experience with Python, Spark/PySpark, and SQL.

- Experience in cloud-based data engineering and data platforms.

- Strong understanding of ETL/ELT, data pipelines, and data warehousing.

- Good knowledge of data processing, optimization, and integration.

- Strong problem-solving and stakeholder management skills.