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Google Cloud Platform Data Lead

Prudent Technologies and ConsultingCharlotte, NC🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationCharlotte, NC, United States
SQLShellGitScrumAirflowComplianceContinuous ImprovementGoogle CloudHadoopHiveJenkinsKafkaPythonAgile

Job description

• 5+ years of hands-on software development experience with Big Data & Analytics solutions

• Google Cloud Platform 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 Google Cloud Platform 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 Google Cloud Platform 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 (Google Cloud Platform 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 technology

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