Google Cloud Platform Data Integration Enginee

Hi,

Our client is looking for Google Cloud Platform Data Integration Engineer for a long tern project in Denver CO (Remote) below is the detailed requirement.

Job Title : Google Cloud Platform Data Integration Engineer

Location : Denver CO (Remote)

Duration : Long term

Job Description

• Bachelor’s degree in computer information systems, Information Technology, Information Systems, Computer Science, or equivalent professional experience
• Must have strong Experience 4–8+ years of experience in data integration, data engineering, with strong ETL and SQL.
• 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.
• Ensure high data quality, accuracy, and consistency during data ingestion and transformation.
• Implement data validation, cleansing, deduplication, and monitoring mechanisms.
• Strong experience with integration tools such as Informatica, Talend, MuleSoft, SSIS, or Boomi.
• Proficient in SQL, Python, and scripting for data manipulation and automation.
• Experience with cloud data platforms (Google Cloud Platform) and services such as Google Cloud Dataflow.
• Familiarity with REST/SOAP APIs, JSON, XML, and flat file integrations.
• Good Experience with message queues or data streaming platforms (Kafka, RabbitMQ, Kinesis).
• Good Understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery).
• Good Knowledge of data security, privacy, and compliance best practices (HIPAA, GDPR, etc.).
• Good Prior experience in industries like healthcare, fintech, or e-commerce is a plus.
• Experience with state-of-the-art technology, architecture, design concepts, open-source operating systems, database systems, computer networking, and security
• Demonstrated ability to work effectively in cross-functional groups and generate results