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GCP Data Engineer
1 month ago
Job Title: GCP Data Engineer - Teradata, ETL
Job Location: Bangalore
Job Type: Permanent
Key Responsibilities:
- Data Engineering on Google Cloud Platform (GCP):
- Design, develop, and maintain data pipelines using GCP services such as BigQuery, Cloud Storage, Cloud Dataflow, and Pub/Sub.
- Implement and optimize ETL processes to ensure efficient data transformation and loading within GCP.
- Integrate and manage structured and unstructured data within GCP ecosystem.
- Implement GCP best practices for data security, performance, and scalability.
- Teradata Expertise:
- Design and manage data solutions using Teradata for large-scale data processing.
- Integrate Teradata with GCP-based data systems for seamless data migration and transformation.
- Optimize and tune Teradata queries and data models to ensure high-performance data processing.
- Collaborate with other teams to implement data warehousing solutions on Teradata.
- ETL Process Development:
- Develop, maintain, and enhance ETL processes using tools like Apache NiFi, Talend, or custom scripts.
- Ensure data consistency and quality throughout the ETL pipeline.
- Monitor and resolve ETL issues to ensure seamless data flow.
- Collaboration and Support:
- Work closely with business analysts, data scientists, and other stakeholders to understand data needs and deliver solutions.
- Troubleshoot and resolve data-related issues across GCP and Teradata environments.
- Provide support and documentation for the data solutions deployed.
Skills and Qualifications:
- Strong experience with Google Cloud Platform (GCP) , particularly with BigQuery, Cloud Storage, Cloud Dataflow, and Pub/Sub.
- Solid experience in Teradata data architecture, development, and performance optimization.
- Proficiency in ETL processes and tools like Apache NiFi, Talend, or custom Python/SQL scripts.
- Strong hands-on experience in SQL , including Teradata SQL and BigQuery SQL.
- Knowledge of cloud data migration and integration strategies between GCP and Teradata .
- Experience in developing scalable and efficient data pipelines and transforming data for analytics and reporting.
- Familiarity with data modeling, data warehousing, and building data lakes.
- Strong problem-solving and analytical skills.
Preferred Skills:
- Experience with data orchestration tools like Apache Airflow or similar.
- Knowledge of data governance and data security best practices.
- Experience with Data Lake architectures and Big Data technologies.
Education and Experience:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- years of experience in data engineering, working with GCP , Teradata , and ETL processes.