Dun & Bradstreet - Data Engineer - Google Cloud Platform

Key Responsibilities :

• Collaborate with cross-functional teams to identify and design requirements for advanced systems with respect to processing, analyzing, searching, visualizing, developing, and testing vast datasets to ensure data accuracy.
• Implement business requirements by collaborating with stakeholders.
• Become familiar with existing application code and achieve a complete understanding of how the applications function.
• Maintain data quality by writing validation tests.
• Understand variety of unique data sources.
• Create and document data documentation, including, processing systems and flow diagrams.
• Help maintain existing systems, including troubleshooting and resolving alerts.
• Expected to meet critical project deadlines.
• Excellent organizational, analytical, and decision-making skills.
• Excellent verbal, written, and interpersonal communication skills.
• Capable of working collaboratively and independently.
• Share ideas across teams to spread awareness and use of frameworks and tooling.
• Show an ownership mindset in everything you do; be a problem solver, be curious and be inspired to take action, be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
• Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and Skills :
• 8+ years experience in a data analysis, visualization, and manipulation.
• Extensive experience working with GCP services, including Big Query, Dataflow, Pub / Sub, Cloud Storage, Cloud Run, Cloud Functions and related technologies.
• Extensive experience with SQL and relational databases, including optimization and design.
• Experience with Amazon Web Services (EC2, RDS, S3, Redshift, EMR, and more).
• Experience with OS level scripting (bash, sed, awk, grep, etc.
• Experience in AdTech, web cookies, and online advertising technologies is a plus.
• Testable and efficient Python coding for data processing and analysis.
• Familiarity with parallelization of applications on a single machine and across a network of machines.
• Expertise in containerized infrastructure and CI / CD systems, including CloudBuild, Docker, Kubernetes, Harness, and GitHub Actions.
• Experience with version control tools such as GIT, Github, and BitBucket.
• Experience with Agile Project Management tools such as Jira and Confluence.
• Experience with object-oriented programming, functional programming a plus.
• Analytic tools and ETL / ELT / data pipeline frameworks a plus.
• Experience with data visualization tools like Looker, Tableau, or Power BI.
• Experience working with global remote teams.
• Knowledge of data transformation processes.
• Google Cloud certification a plus.
• Proficiency in Microsoft Office Suite.
• Fluency in English and languages relevant to the team.

(ref : hirist.tech)