Senior Customer Integration Engineer (Data Engineer)

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Requirements:

• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
• 5+ years of experience in data engineering with focus on data transformation and integration.
• Proficiency in MySQL, Redis, Google BigQuery, MongoDB.
• Strong skills in data profiling, cleansing, and transformation techniques.
• Proficiency in Python and SQL for data manipulation.
• Experience with ETL tools for large-scale data processing.
• Demonstrated ability with diverse data formats like CSV, JSON, XML, APIs.
• Advanced SQL knowledge for transformations and query optimization.
• Expertise in data modeling and schema design.
• Strong analytical skills for resolving data inconsistencies.
• Experience with data mapping and reconciliation.
• Proficiency in writing data transformation scripts.
• Excellent attention to detail.

Responsibilities:

• Partner with the sales team for customer integration and rollout.
• Design and implement data transformation processes.
• Analyze complex data structures and formats.
• Develop and maintain ETL pipelines for data ingestion.
• Perform data quality assessments and implement cleaning procedures.
• Optimize transformation queries for performance.
• Collaborate with cross-functional teams for data requirements.
• Create and maintain documentation for data processes.
• Implement data validation checks.