We are seeking a highly skilled Data Migration Engineer to join our team. This role focuses on ensuring the smooth transition of data between various systems, maintaining data integrity, and optimizing data processes to support evolving business needs.
Devise comprehensive data migration strategies that align with business objectives and project timelines.
Execute data migration tasks, including extraction, transformation, and loading (ETL) processes, ensuring data accuracy and completeness.
Analyze existing data structures and design efficient processes for data migration considering system differences.
Collaborate with cross-functional teams to ensure integrated data flows and optimized performance across environments.
Perform thorough data mapping and validation activities to verify data consistency and accuracy during migration.
Develop automated validation scripts to ensure data quality post-migration.
Create detailed technical documentation of data migration processes, mapping schemas, and data models.
Provide ongoing support and troubleshoot issues related to data migration, ensuring minimal disruption to business operations.
Identify opportunities to improve data migration processes, enhancing efficiency and reducing execution time.
Implement performance tuning techniques to optimize data transfer rates and system resources.
Ensure all data migration activities comply with data governance, security policies, and regulatory requirements.
Implement data protection practices to secure sensitive and proprietary information during migration activities.
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}
Not Specified
No
No