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GCP Data Lead

TechDigital · Charlotte, NC

About TechDigital

78 open jobs
100100

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Actively hiring

Posted 5 days ago · still listed on the employer's own board · How we score

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  • Posted 5 days ago
  • Still listed on the employer's own board

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GCP Data Lead at TechDigital. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

  • 5+ years of hands-on software development experience with Big Data & Analytics solutions
  • GCP Cloud - Big Query, Airflow, DataProc, PubSub, Hadoop Hive, Spark, Python, shell scripting
  • Strong experience in designing, developing, and optimizing data pipelines for large-scale data processing, transformation, and analysis using Big Data and GCP technologies.
  • Proficiency in SQL and database systems, with experience in designing and optimizing data models for performance and scalability.
  • Experience of building event processing pipelines with Kafka or GCP PubSub.
  • Design and development experience with Airflow, PubSub Kafka, Git, Jenkins is desirable.
  • Knowledge of distributed (multi-tiered) systems, algorithms & relational databases.
  • Strong Object-Oriented Programming skills and design patterns.
  • Experience with CICD pipelines, Automated test frameworks, and source code management tools (XLR, Jenkins, Git).
  • Good knowledge and experience with configuration management tools like GitHub
  • Ability to analyze complex data engineering problems, propose effective solutions, and implement them effectively.
  • Ability and willingness to learn, adopt and build solutions using the Enterprise frameworks established for Big Data
  • Looks proactively beyond the obvious for continuous improvement opportunities.
  • Communicates effectively with product and cross functional team.
  • Willingness to learn new technologies and leverage them to their optimal potential.
  • Understanding of various SDLC methodologies, familiarity with Agile & scrum ceremonies.
  • Certifications in cloud platform (GCP Professional Data Engineer) is a plus.
  • Provide engineering expertise to the team for developing features for Banking including Financial Crimes, Anti-money Laundering platforms
  • Improve engineering practices, including driving resilience, predictability, and end efficiency through automation
  • Partner with product teams to envision and deliver solutions which transform Financial Crimes Compliance using technolo

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