Senior Data Engineer
$55 - $62 per hourApex Systems Inc
Job Title: Senior Data Engineer Location: Austin, Texas OR Southlake, TX Work Schedule: 4x onsite each week Employment Type: 9 Months Contract Pay Rate: $55-62/hr. on W2 Role Overview In this role, you will be contracted to build and maintain scalable data pipelines on Google Cloud Platform (GCP) to serve fraud data mart customers. You will work closely with cross-functional teams to ensure data integrity, reliability, and scalability. Your expertise in Google BigQuery, Google Cloud Storage, Dataflow, Cloud Composer, Python, and SQL will be crucial in developing effective data solutions that support fraud data analytics and reporting efforts. Key Responsibilities
- Design, build, and maintain scalable data pipelines using Google Cloud Platform tools such as BigQuery, Cloud Storage, Dataflow (Apache Beam), Cloud Composer (Airflow) and Pub/Sub.
- Write high-performance, production-grade Python and SQL, optimizing queries to support data extraction, transformation, and loading (ETL) processes.
- Implement complex data models in BigQuery, utilizing partitioning, clustering, and materialized views for optimal performance.
- Collaborate with cross-functional teams, including business customers and Subject Matter Experts, to understand data requirements and deliver effective solutions.
- Implement best practices for data quality, data governance, and data security.
- Monitor and troubleshoot data pipeline issues, ensuring high availability and performance.
- Contribute to data architecture decisions to provide recommendations for improving the data pipeline.
- Stay up to date with emerging trends and technologies in cloud-based data engineering and cybersecurity.
- Proactively lead investigation and resolution efforts when data issues are identified, taking ownership to resolve them in a timely manner.
- Ability to interoperate and document processes and procedures for producing metrics.
- Deep expertise in real-time processing using Kafka or Pub/Sub.
- Experience with Power BI development and visualization.
- Experience with modern data stacks such as Snowflake or Databricks.
- Knowledge of DevOps practices and tools such as Terraform.
- Familiarity with data visualization tools such as Tableau, Grafana, and/or Looker.
- A Google Professional Data Engineer certification is a plus.
- Demonstrated Fraud and Financial Crime domain knowledge will be beneficial.
Vacancy posted 1 day ago
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