Data Engineer

The role involves developing, optimizing, and maintaining data products within the Google Cloud Platform environment for a retail industry project. The position is fully remote and contracted on a B2B basis.

• 4+ years of experience as a Data Engineer on GCP.
• Proficient in GCP tools like Dataflow and BigQuery.
• Experience with Data Build Tool (DBT).
• Familiarity with data formats like Avro and Parquet.
• Experience in SQL or similar data query languages.
• Ability to ingest data from various on-premise sources and cloud providers like Azure.
• Proficiency in data-centric programming languages (Python, Java, or Scala).
• Solid understanding of different data modeling techniques.
• Knowledge of NoSQL and RDBMS databases.
• Excellent communication skills and a collaborative mindset.
• Fluent in written and verbal English.

Nice to have:

• Business understanding of the retail industry.

• Take end-to-end responsibility to build, optimize and support existing and new data products towards the defined target vision.
• Be a champion of DevOps mindset and principles, managing CI/CD pipelines and Terraform, focusing on GCP.
• Ensure data products function as independent deployment units, adhering to standards for security, scalability, observability, and performance.
• Collaborate closely with the Product Owner and stakeholders regarding the vision for data products and identify new opportunities to meet customer needs.
• Engage with product teams to discuss and advance topics related to the data mesh concept.
• Evaluate for continuous improvement and reduction of technical debt within teams.
• Maintain expertise in the latest data, analytics, and cloud technologies.