Gcp data engineer

3 days ago

Bengaluru, India Apptad Inc. Full time
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 Big Query, 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 Ni Fi, 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 Big Query, 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 Ni Fi, Talend, or custom Python/SQL scripts.
Strong hands-on experience in SQL , including Teradata SQL and Big Query 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.

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