Data Engineering Lead
2 weeks ago
A Data Engineer is sought to join a high-impact data platform supporting business decision-making and regulatory compliance. The role involves designing and developing scalable data pipelines using big data technologies within an Agile environment, collaborating with data analysts and business stakeholders to ensure data integrity and timely delivery of insights.
Key Responsibilities:
- Designing and developing data processing workflows using Spark, Hive, and SQL.
- Collaborating with Business Analysts to interpret and implement data requirements.
- Participating in Agile ceremonies including planning, sprint reviews, and retrospectives.
- Conducting code reviews and promoting development standards across the team.
- Monitoring and troubleshooting production data jobs and workflows.
- Integrating scheduling tools such as Airflow to orchestrate workflows.
- Implementing automated testing frameworks for data components.
- Supporting DevOps processes including CI/CD using Jenkins and Ansible.
- Contributing to architectural discussions and technical strategy.
Required Skills and Qualifications:
Data engineering, DevOps, Scala, Spark, Hive, Hadoop, Yarn, SQL, ETL, Git, GitHub, Airflow, Relational database, REST API, Unix, Linux, Elasticsearch, Java, Cloud, Design Patterns, Kanban
Benefits:
- Multisport card.
- Access to Pluralsight.
- Access to Healthcare.
- Access to +100 projects.
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