Description

You will build and maintain data integration solutions within the AWS ecosystem.

This role is on-site.

Responsibilities

• Design and implement data integration workflows using AWS Glue, EMR, AWS MWAA (Airflow), Lambda, and Redshift.
• Develop and maintain data warehousing and ETL processes.
• Manage data storage and processing technologies, including databases and data lakes.
• Utilize distributed computing frameworks like Hadoop and Spark.
• Implement CI/CD pipelines for data engineering tools.

Required Skills

• 12+ years of experience in data engineering, database design, and ETL processes.
• 7+ years of experience with AWS tools: S3, EMR, Glue, Athena, Redshift, RDS, Spectrum, and Airflow.
• 7+ years of experience with CI/CD tools.
• 7+ years of experience in Python programming.
• Proficiency in ETL processes, AWS Glue, Redshift, Athena, RDS, Spectrum, Airflow, Hadoop, and Spark.
• Strong knowledge of data storage and processing technologies.

Preferred Skills

• Experience with distributed computing frameworks like Hadoop and Spark.
• Any Graduate education.

Key Skills

Education

Any Graduate