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Data Integration Specialist
2 months ago
Job Title: Data Integration Specialist - Cloud Expert
Company: DEW Softech, Inc
Job Type: Temporary Assignment
Location: Onsite
Duration: 6 months
Interview: Video
Job Description:
We are seeking a skilled and experienced Data Integration Specialist for a temporary assignment to join our dynamic team at DEW Softech, Inc. This position will be responsible for the migration, integration, and maintenance of data within Amazon S3 and Amazon Redshift environments.
Key Responsibilities:
- Data Pipeline Design and Implementation: Design and implement data pipelines to extract, transform, and load data (ETL and/or ELT) into Amazon S3 using Azure Data Factory and other tools.
- Automated Workflows: Set up automated workflows to ensure continuous data migration.
- Data Storage Configuration: Configure Amazon S3 buckets for data storage.
- Data Schema and Table Setup: Set up data schemas and tables in Amazon Redshift.
- Data Migration: Migrate cleaned and preprocessed data into Amazon S3 and Redshift.
- Data Integrity and Security: Ensure data integrity and security during migration.
- Performance Monitoring: Monitor data pipelines for performance and reliability.
- Maintenance and Improvement: Perform regular maintenance to address any issues and improve data integration processes for increased efficiency and scalability.
- Documentation: Document data integration processes and procedures.
Requirements:
- Cloud Experience: Experience with various cloud platforms.
- Azure Data Factory Proficiency: Proficient with Azure Data Factory.
- Cloud Knowledge: Strong knowledge of Amazon AWS S3, AWS Redshift, and AWS Lambda.
- SQL and ETL Tools: Proficient in SQL and ETL tools.
- Communication and Documentation: Effective communication and documentation abilities.
- Data Security and Integrity: Expertise in data security and integrity measures.
- Problem-Solving and Analytical Skills: Excellent problem-solving and analytical skills.
- Experience: 3 years of experience creating, documenting, implementing, and maintaining data pipelines.
Desired/Preferred Skills:
- AWS Glue Experience: Experience using AWS Glue.
- Programming Languages: Proficient with Python, C#, and sparkSQL.
