Mandatory Skills : AWS, Data Engineering, Python Or PySpark.

Roles and Responsibilities:

- Design, develop, and maintain large-scale data pipelines using AWS services such as AWS Glue, Lambda, EMR, and Redshift.

- Develop scalable and efficient data models using PySpark and Spark SQL to process massive datasets.

Desired Candidate Profile:

- 7-12 years of experience in Data Engineering with expertise in Python programming language.

- Strong understanding of AWS ecosystem including AWS Glue, Lambda, EMR, Redshift, EC2, ECS, S3 etc.

- Experience with big data technologies like Hadoop/Hive/Pyspark/SparkSQL.

- Strong analytical mindset with the ability to communicate technical data strategies to non-technical stakeholders effectively.

- Experience working in a collaborative, agile environment, demonstrating the ability to mentor junior engineers and drive technical excellence within the team.

- A Bachelor's or Master's degree in Computer Science, Information Technology, or a related quantitative field.