Description

You will design and implement advanced data solutions using Python and big data technologies across SQL, NoSQL, and AWS environments.

This role is on-site.

Responsibilities

• Design and implement data solutions using Python, Apache Hadoop, and Apache Spark.
• Handle data processing and storage across MySQL, PostgreSQL, and MongoDB.
• Manage ETL processes and data integration using Apache NiFi.
• Build scalable data solutions leveraging AWS services like EC2, S3, RDS, DynamoDB, Redshift, and CloudWatch.
• Troubleshoot, debug, and upgrade existing data systems while adhering to Agile practices.

Required Skills

• Minimum 6 months experience with Python, Apache Hadoop, or Apache Spark.
• Experience with Apache Spark, Apache Hadoop, MySQL, and PostgreSQL.
• Familiarity with ETL processes and data integration using Apache NiFi.
• Knowledge of AWS services including S3, EC2, RDS, DynamoDB, and Redshift.
• Proficiency with data querying using Hive and HQL.
• Experience with version control using Git and GitHub.
• Understanding of data visualization using PowerBI.
• Ability to travel and relocate to various client sites throughout the USA.

Key Skills

Education

Any Graduate