Data Engineer

We are seeking a skilled Data Engineer with expertise in Data Warehousing, Data Lake, and building data pipelines using Pyspark. The ideal candidate should have strong SQL skills, hands-on experience with AWS services (S3, EC2, EMR, Athena, Redshift), and a good understanding of cloud environments. Programming skills in Python are a plus. This is a great opportunity to work in a dynamic environment with cutting-edge data technologies.

Key Responsibilities:

• Design, develop, and maintain data pipelines using Pyspark.
• Work with Data Warehouses and Data Lakes for efficient data storage and processing.
• Optimize and query large datasets using SQL.
• Utilize AWS services such as S3, EC2, EMR, Athena, and Redshift for data processing and storage.
• Collaborate with cross-functional teams to gather and integrate data from various sources.
• Ensure data quality, consistency, and security in the cloud environment.
• Good to have Python programming skills for automation and data processing.

Qualifications:

• Strong experience in Data Warehousing, Data Lakes, and data pipeline construction.
• Proficiency in SQL and data querying.
• Hands-on experience with AWS services (S3, EC2, EMR, Athena, Redshift).
• Knowledge of Pyspark for data processing.
• Python programming skills are a plus.