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Data Engineering Leader

hace 3 semanas

Aldeatejada Castilla y León Spain Marionete A tiempo completo

At Marionete, we are passionate about helping clients harness the power of technology to drive innovation and success.

About the Job:

We are seeking an experienced Senior Data Engineer to join our team. As a Senior Data Engineer, you will be responsible for designing, developing, and managing data pipelines using Apache Kafka. You will also work closely with our cross-functional teams to ensure seamless collaboration and effective communication of technical concepts to both technical and non-technical audiences.

Key Responsibilities:

  1. Develop and maintain scalable data pipelines using Apache Kafka
  2. Collaborate with data scientists, analysts, and DevOps engineers to ensure smooth integration and deployment
  3. Provide technical guidance and mentoring to junior team members
  4. Evaluate and recommend new technologies to enhance data engineering processes
  5. Stay up-to-date with industry trends and contribute to knowledge sharing within the team

Requirements:

  • Minimum 5 years of experience in Data Engineering
  • Fluent English (written and verbal) for effective collaboration
  • Proven ability to communicate complex technical concepts
  • Experience working in cross-functional teams
  • Ability to influence and establish best practices
  • Self-motivated with a growth mindset

Skills and Qualifications:

  • Proven experience designing, developing, and managing Kafka-based data pipelines
  • Good understanding of Kafka Streams, Connect, or the Confluent Kafka platform
  • Hands-on experience with ETL tools and data ingestion processes
  • Strong SQL skills, with the ability to write optimized and scalable queries
  • Proficiency in at least one programming language (Python, Java, Scala, or .NET)

Technical Requirements:

  • Proficient in Git-based workflows and tools like Jenkins, Azure DevOps, or GitLab CI / CD
  • Knowledge of Azure's security and identity management practices

Bonus Points:

  • Understanding of data governance principles, security policies, and compliance standards

About Us:

We offer a dynamic work environment, competitive compensation, and a range of benefits to support your well-being and professional growth.