Data Integration Specialist -Only Local candidates- PA

Philadelphia, PA- Ideally Prefer local candidates

HYBRID

6+ Months

2 rounds of Interview

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.

It 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.

Work activities:

• 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

Skills/experience of the assigned staff:

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 problem-solving 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.