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Data Engineer

PublishedPublished: 6/14/2022
Technology
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Job Description

Hiring: Lead Data Engineer – GCP

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Location: Charlotte, NC

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Employment Type: W-2 only

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Work Authorization: Must be authorized to work in the United States.

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We are seeking an experienced Lead Data Engineer with strong GCP and Big Data expertise to design and deliver scalable data solutions supporting banking, financial crimes, and Anti-Money Laundering (AML) platforms.

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Key Responsibilities

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  • Design, develop, and optimize large-scale data pipelines for ingestion, transformation, and analytics.
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  • Build event processing pipelines using Kafka or GCP Pub/Sub.
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  • Develop and optimize SQL queries and data models for performance and scalability.
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  • Orchestrate data workflows using Airflow and implement reliable processing solutions using Spark and Dataproc.
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  • Improve engineering practices through automation, testing, CI/CD, and resilient system design.
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  • Collaborate with product and cross-functional teams to deliver financial crimes compliance solutions.
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  • Identify opportunities to improve pipeline reliability, efficiency, and maintainability.
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Required Qualifications

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  • 5+ years of hands-on software development experience with Big Data and Analytics solutions.
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  • Strong experience with GCP services, including BigQuery, Dataproc, and Pub/Sub.
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  • Hands-on experience with Airflow, Hadoop, Hive, Spark, Python, and shell scripting.
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  • Strong SQL skills and experience designing scalable data models.
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  • Experience with Kafka or Pub/Sub for event-driven data processing.
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  • Understanding of distributed systems, relational databases, object-oriented programming, and design patterns.
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  • Experience with Git/GitHub, Jenkins, CI/CD pipelines, and automated testing frameworks.
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  • Familiarity with Agile/Scrum and software development lifecycle practices.
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  • Strong problem-solving, communication, and collaboration skills.
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Preferred Qualifications

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  • GCP Professional Data Engineer certification.
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  • Experience supporting banking, financial crimes, or AML platforms.
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  • Familiarity with enterprise Big Data frameworks and release automation tools such as XLR.
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Interested candidates: Please share your resume for consideration.

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