• Job ID:

J49053
- Job Title:

ETL designer with Google Cloud Platform_Remote
- Location:

Dallas, TX
- Duration:

12 Months + Extension
- Hourly Rate:

Depending on Experience (DOE)
- Work Authorization:

US Citizen, Green Card, OPT-EAD, CPT, H-1B,

H4-EAD, L2-EAD, GC-EAD
- Client:

To Be Discussed Later
- Employment Type:

W-2, 1099, C2C

Job Title: ETL designer with Google Cloud Platform (Telecom is preferred)

Location: Remote/Dallas preferred, need to work in CT timezone.

Experience: 12-15+ years

Mail:

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.