GCP Big Data Engineer_Temple Terrace, FL_Only on W2_No Third Parties
2 weeks ago
Job Title: GCP Big Data Engineer
Duration: Up to 30 Months (2.5 Years)
Client: One of the top companies in the Fortune 50 list
JOB DESCRIPTION:
- Must have hands-on experience in Big Data Development
The Artificial Intelligence and Data team is seeking BI engineers with expert-level experience in developing enterprise software applications on Google Cloud Data Flow Engineer (3-4 Years Experience).
Position Summary:
We are looking for a skilled Google Cloud Data Flow Engineer with a proven track record of leveraging Google Cloud Platform (GCP) tools to design, build, and maintain scalable and reliable data solutions.
The ideal candidate will have deep expertise in GCP tools, specifically Dataflow, BigQuery, and Cloud Composer, and will collaborate with cross-functional teams to tackle data-related technical challenges and enhance our data infrastructure.
Key Responsibilities:
- Design, build, and deploy scalable and robust data pipelines using Google Cloud Dataflow
- Utilize BigQuery for data analytics, ensuring optimized performance and cost efficiency
- Manage workflow orchestration and automation using Cloud Composer
- Monitor, troubleshoot, and optimize data pipelines, ensuring data quality and integrity
- Stay updated with GCP's latest features and best practices to keep the data infrastructure cutting-edge
- Document data architectures, processes, and data lineage for transparency and maintainability
Qualifications:
- 3+ years of experience as a data engineer with significant exposure to Google Cloud Platform
- Strong expertise in GCP tools, particularly Dataflow, BigQuery, and Cloud Composer
- Proficiency in GCP Dataflow, Java/Python & Beam, experience in leading delivery streams
- Experience with streaming/messaging systems like Kafka, Pulsar, GCP PubSub, RabbitMQ, and similar tools
- Familiarity with other GCP services such as Cloud Storage and Dataproc
- Strong analytical and problem-solving skills
- Familiarity with other cloud platforms (e.g., AWS, Azure) is a plus
- Excellent written and verbal communication skills
- Bachelor's degree in Computer Science, Engineering, or related field
Additional Requirements:
- Demonstrated ability to work in a fast-paced environment, managing multiple projects simultaneously
- Commitment to continuous learning and adapting to the evolving data landscape
- Proven ability to collaborate effectively with both technical and non-technical stakeholders
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