Must-Have Skills - W2 role
Education: Bachelor s or Master s degree in Computer Science, Computer Engineering, another technical discipline, or equivalent work experience.
Experience: 5+ years of hands-on software development experience with Big Data and analytics solutions.
Google Cloud Platform and Big Data: Hands-on experience with Google Cloud Platform technologies, including BigQuery, Dataproc, PubSub, and Airflow, plus Hadoop, Hive, and Spark.
Programming and scripting: Strong Python and shell-scripting skills.
Data engineering: Strong experience designing, developing, and optimizing scalable data pipelines for large-scale data processing, transformation, and analysis.
SQL and data modelling: Proficiency in SQL and relational database systems, including designing and optimizing data models for performance and scalability.
Event processing: Experience building event-driven processing pipelines using Kafka or Google Cloud PubSub.
Distributed systems: Knowledge of distributed, multi-tiered systems and algorithms.
Software engineering: Strong object-oriented programming skills and knowledge of design patterns.
CICD and source control: Experience with CICD pipelines, automated testing frameworks, and source-code management tools such as Jenkins and Git.
Problem solving: Ability to analyze complex data-engineering problems, propose effective solutions, and implement them successfully.
Enterprise frameworks: Ability and willingness to learn, adopt, and build solutions using established enterprise Big Data frameworks.
Collaboration: Effective communication with product and cross-functional teams.
Delivery methodology: Understanding of SDLC methodologies and familiarity with Agile and Scrum ceremonies.
Continuous improvement: Proactive approach to identifying improvement opportunities and willingness to learn and apply new technologies.
Nice-to-Have Skills
Workflow and messaging tools: Additional design and development experience with Airflow, PubSub, and Kafka.
DevOps tooling: Experience with Git, GitHub, Jenkins, XLR, and configuration-management practices.
Regulatory technology: Experience building innovative engineering solutions for financial-crimes compliance.
Engineering excellence: Experience improving resilience, predictability, delivery efficiency, and automation within engineering teams.
Product partnership: Experience partnering with product teams to envision and deliver technology-led transformation.
Certification: Google Cloud Professional Data Engineer certification.
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