Data Integration Specialist

Position: Data Integration Specialist

Location: Philadelphia PA Onsite

Duration: 6 months
Interview: Video

Project Scope:

The client aims to modernize its data infrastructure by mapping all existing systems and migrating the data to a centralized data lake on Amazon S3 and Redshift. This project will involve a Data Analyst to gather review clean and preprocess data and a Data Integration Specialist to create and maintain the data pipelines for smooth data migration.

Ideal Candidate: Senior Data Integration Specialist with recent experience creating and maintaining the data pipelines for smooth data migration with Amazon S3 and cloud database similar to Redshift. 7 yrs with ability to work onsite.

Job Description: We are seeking a skilled and experienced Data Integration Specialist for a temporary assignment to join our dynamic team. This position will be responsible for the migration integration and maintenance of data within Amazon S3 and Amazon Redshift environments. This position will also be responsible for ensuring data integrity and security throughout the entire process from initial migration to continuous data operations. This position requires 3 or more years of experience working as a Data Integration Specialist.

Responsibilities:

• Design and implement data pipelines to extract transform and load data (ETL and/or ELT) data into Amazon S3 using Azure Data Factory and other tools
• Set up automated workflows to ensure continuous data migration
• Configure Amazon S3 buckets for data storage
• Set up data schemas and tables in Amazon Redshift
• Migrate cleaned and preprocessed data into Amazon S3 and Redshift
• Ensure data integrity and security during migration
• Monitor data pipelines for performance and reliability
• Perform regular maintenance to address any issues
• Improve data integration processes for increased efficiency and scalability
• Document data integration processes and procedures

Requirements:

Required

• Experience with various cloud platforms
• Proficient with Azure Data Factory
• Strong knowledge of Amazon AWS S3 AWS Redshift and AWS Lambda
• Proficient in SQL and ETL tools
• Effective communication and documentation abilities
• Expertise in data security and integrity measures
• Excellent problemsolving and analytical skills
• 3 years of experience creating documenting implementing and maintaining data pipelines

Highly Desired/Preferred

• Experience using AWS Glue
• Proficient with Python C# and sparkSQL

Design and implement data pipelines to extract