ETL Design Consultant with Google Cloud Platform Certified :: Remote

Title: Senior ETL Design Google Cloud Platform Certified Consultant
Location: Plano, TX (remote but CST working hours)
Duration: 12+ Months

 
Job Description:
We are seeking a highly experienced ETL designer to join our team. The ideal candidate will have over 12-15 years of experience in designing and implementing data solutions, with a strong focus on cloud data warehousing and real-time data processing. This role requires advanced knowledge in various data technologies and the ability to translate business requirements into scalable and efficient data architectures.
 
Key Responsibilities:
Design, develop, and maintain robust ETL pipelines on Google Cloud Platform using tools like Dataflow, BigQuery, Cloud Composer (Apache Airflow), and Pub/Sub
Optimize data ingestion, transformation, and loading processes for high-volume, real-time, and batch data processing
Ensure data integrity, quality, and security throughout the ETL lifecycle
Collaborate with data engineers, analysts, and business teams to understand data needs and translate them into efficient ETL solutions
Implement best practices for performance tuning, error handling, and monitoring of ETL jobs
Work with structured and unstructured data sources, integrating API-based, event-driven, and batch processing workflows
Automate and document ETL processes to enhance maintainability and scalability
Utilize Git for version control and deployment of ETL workflows, ensuring smooth CI/CD integration
 
Key Skills:
12+ years of experience in ETL design and development
Proficiency in SQL, Python, and Apache Beam for data processing using dataflow, dataproc appliances.
Strong experience in advance DML operations, query optimization
Strong expertise in Google Cloud Platform services (BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Composer)
Experience with data modeling, warehousing concepts, and data lakes
Hands-on experience with orchestration tools like Apache Airflow or Cloud Composer on DAG design, Error handling and monitoring
Knowledge of performance tuning, data partitioning, and optimization techniques
Experience in real-time streaming ETL and event-driven architectures is a plus
Familiarity with Git for version control and deployment of ETL pipelines
Strong problem-solving skills and ability to work in an agile environment
 
Qualifications:
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
Proven experience in ETL design and implementation in DWH systems.
Strong problem-solving skills and the ability to work in a fast-paced environment.
Excellent communication and collaboration skills.
 
Preferred Qualifications:
Experience with Google Cloud Platform Big Query and other cloud data warehousing solutions.
Familiarity with modern data processing frameworks and tools.