Google Cloud Platform Data Integration Engineer

About this role

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Job Summary:


We are looking for a detail-oriented and technically skilled Data Integration Engineer to design, develop, and manage robust data integration solutions. The ideal candidate will have hands-on experience in integrating data across disparate systems, building ETL/ELT pipelines, and ensuring the accuracy, quality, and consistency of enterprise data. You will play a key role in enabling seamless data flow between systems to support business intelligence, analytics, and operational needs.


Key Responsibilities:


Integration Design & Development

• ⁠ ⁠Design and implement data integration workflows between internal and external systems, including APIs, databases, SaaS applications, and cloud platforms.
• ⁠ ⁠Develop and maintain scalable ETL/ELT pipelines for structured and unstructured data using tools like Informatica, Talend, SSIS, Apache NiFi, or custom Python/SQL scripts.
• ⁠ ⁠Build and manage real-time and batch data pipelines leveraging technologies like Kafka, Spark Streaming,.

Data Quality & Governance

• ⁠ ⁠Ensure high data quality, accuracy, and consistency during data ingestion and transformation.
• ⁠ ⁠Implement data validation, cleansing, deduplication, and monitoring mechanisms.
• ⁠ ⁠Contribute to metadata management, data lineage, and data catalog initiatives.

Collaboration & Troubleshooting

• ⁠ ⁠Collaborate with data engineers, business analysts, data scientists, and application teams to understand integration needs and deliver effective solutions.
• ⁠ ⁠Troubleshoot and resolve data integration and pipeline issues in a timely manner.
• ⁠ ⁠Provide documentation and knowledge transfer for developed solutions.

Platform & Infrastructure Support

• ⁠ ⁠Support data movement across hybrid environments (on-prem, cloud, third-party systems)...