Data Engineer – GCP

🕒 July 29

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 47%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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The Data Sherpas

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2010

💼 Consulting

🤖 Artificial Intelligence

📣 Marketing

Consulting • Artificial Intelligence • Marketing

The Data Sherpas is a platform-agnostic data and analytics services firm that helps organizations adopt AI, cloud, martech and adtech solutions. Innovation-focused, they provide consulting and managed services to empower businesses with advanced data, AI and cloud capabilities for strategic decision-making, operational efficiency and competitive advantage. Their website emphasizes case studies, brand partnerships, and services spanning data, AI, cloud, martech and adtech.

📋 Description

• Design, build, and maintain scalable and reliable data pipelines using Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer. • Develop ETL/ELT processes to process and transform large volumes of structured and unstructured data. • Optimize data pipeline performance, scalability, and reliability. • Ensure data processing and ingestion workflows are monitored and meet performance SLAs. • Design and implement data storage solutions using BigQuery, Cloud Storage, and Firestore. • Manage data lifecycle policies and archiving processes. • Develop data transformation processes using BigQuery, Apache Beam, and Cloud Functions. • Implement data quality checks, validation rules, and monitoring solutions. • Automate data ingestion, transformation, and export using tools like Cloud Composer and Cloud Functions. • Collaborate with data scientists and analysts to understand data needs and business goals.

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Engineering, or a related field; Master’s degree is a plus. • 3+ years of experience in data engineering, with at least 2+ years working with Google Cloud Platform. • Google Professional Data Engineer certification is required. • Strong proficiency with GCP services such as BigQuery, Cloud Dataflow, Cloud Composer, Cloud Pub/Sub, Firestore, and Cloud Functions. • Hands-on experience with big data tools and frameworks such as Apache Beam, Hadoop, Spark, or Flink. • Hands-on experience with dbt. • Proficiency in programming languages such as Python, Java, or Scala. • Strong knowledge of SQL, data modeling, and query optimization. • Experience with CI/CD tools and version control (e.g., Git, Cloud Build). • Strong understanding of data governance, security, and compliance requirements. • Ability to manage large-scale data processing and real-time data pipelines. • Excellent problem-solving, analytical, and communication skills. • Must be a U.S. Citizen or Green Card holder.

🏖️ Benefits

• Competitive salary and performance-based incentives. • Comprehensive health, dental, and vision coverage. • Professional development and training opportunities (including GCP certification). • Flexible work environment and remote work options.

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