Senior Data Engineer
Adaugat: Azi
Data Edge
Senior Data Engineer
Adaugat: Azi
Data Edge
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We are seeking a Data Engineer with strong GCP expertise to join our partner team.
What You Will Do:
- Architect, implement and support data solutions that meet high standards of reliability, scalability and performance.
- Build and maintain ETL pipelines to collect, transform and load data from diverse sources into warehouses or other storage systems.
- Optimize data processing, storage, and querying using GCP services such as BigQuery, Dataflow and Cloud Functions.
- Oversee data workflows, monitor system health, troubleshoot issues, and perform root cause analysis when problems arise.
- Partner with analysts, data scientists, and business stakeholders to gather requirements and deliver data solutions that empower their work.
- Maintain strong data governance by ensuring accuracy, consistency, and security across all data environments.
- Assess emerging tools and technologies to enhance our data engineering stack and overall efficiency.
- Produce clear documentation covering engineering workflows, standards, and best practices.
What You Bring:
- A Bachelor's Degree in Computer Science, Software Engineering or a similar discipline.
- 5+ years of professional experience as a Data Engineer or in a comparable position.
- Solid understanding of core data engineering principles, methodologies, and industry best practices.
- Hands-on experience with GCP services like BigQuery, Cloud
- Storage, Dataflow, Dataplex, Pub/Sub, and Composer.
- Strong background in data modeling, schema design, and database technologies (SQL and/or NoSQL).
- Experience with ETL tools and frameworks such as Apache Beam, Airflow, Kafka or Spark.
- Proficiency with serverless functions using Python or Node.js.
- Familiarity with data quality frameworks and practices.
Nice to Have Skills:
- Master's degree in a relevant technical field.
- Experience handling large-scale datasets.
- Background in automation/orchestration for data quality.
- Deep understanding of data modeling approaches.
- Experience with agile methodologies and tools such as Jira or Git.
- Relevant certifications, such as:
- Google Cloud Professional Data Engineer
- Google Cloud Associate Cloud Engineer.
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