This is a fully remote position, open to applicants in United States.

• Architect, develop, and sustain scalable and dependable data pipelines utilizing Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer.

• Create ETL/ELT procedures for processing and transforming extensive amounts of structured and unstructured data.

• Enhance the performance, scalability, and reliability of data pipelines.

• Ensure monitoring of data processing and ingestion workflows to meet performance SLAs.

• Design and execute data storage frameworks using BigQuery, Cloud Storage, and Firestore.

• Oversee data lifecycle policies and archiving methods.

• Develop data transformation methods using BigQuery, Apache Beam, and Cloud Functions.

• Implement data quality assessments, validation criteria, and monitoring systems.

• Automate data ingestion, transformation, and export processes using tools like Cloud Composer and Cloud Functions.

• Collaborate with data scientists and analysts to grasp data requirements and business objectives.

• A Bachelor’s degree in Computer Science, Data Engineering, or a related discipline; a Master’s degree is advantageous.

• Over 3 years of experience in data engineering, including a minimum of 2 years with Google Cloud Platform.

• Google Professional Data Engineer certification is mandatory.

• Strong expertise in GCP services such as BigQuery, Cloud Dataflow, Cloud Composer, Cloud Pub/Sub, Firestore, and Cloud Functions.

• Practical experience with big data technologies and frameworks like Apache Beam, Hadoop, Spark, or Flink.

• Direct experience with dbt.

• Proficiency in programming languages such as Python, Java, or Scala.

• In-depth knowledge of SQL, data modeling, and query optimization.

• Experience with CI/CD tools and version control systems (e.g., Git, Cloud Build).

• Solid understanding of data governance, security, and compliance standards.

• Capability to manage large-scale data processing and real-time data pipelines.

• Exceptional problem-solving, analytical, and communication abilities.

• Must possess U.S. citizenship or hold a Green Card.

• Competitive salary along with performance-related bonuses.

• Comprehensive health, dental, and vision insurance.

• Opportunities for professional development and training (including GCP certification).

• Flexible working environment with options for remote work.

Data Engineer – GCP

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