Data Integration Engineer (Should have Exp in GCP Cloud) - Remote
Our client is looking for Data Integration Engineer (Should have Exp in GCP Cloud) for a long tern project in Remote below is the detailed requirement. Job Title : Data Integration Engineer (Should have Exp in GCP Cloud) Location : 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 (GCP) 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