[Hiring] Data Engineer @AxiansPT

Role Description

We are looking for a #TechTalent to work as a Senior Data Engineer for a 1‑month international project.

Qualifications

• Expert in Apache Kafka: configuring, managing brokers, partitioning, replication factors, and performance tuning.
• Advanced proficiency in Kafka Streams and Kafka Connect to build real-time pipelines, integrating systems from various sources and destinations.
• Strong understanding of the Confluent ecosystem, including Schema Registry, KSQL, and monitoring tools to ensure robust operations.
• Expertise in event-driven architectures and patterns such as publish-subscribe for distributed systems.
• Skilled in developing and managing APIs and microservices to integrate applications with data platforms.
• Proficient in programming languages like Java, Scala, and Python for real-time data stream processing.
• Hands-on experience with complementary technologies like Spark Streaming, Flink, or other real-time processing tools.
• Knowledgeable in relational and NoSQL databases (e.g., PostgreSQL, Cassandra, MongoDB).
• Practical experience with cloud environments (AWS, Azure, GCP) focusing on big data solutions.
• Familiarity with CI/CD tools (e.g., Git, Jenkins, Docker, Kubernetes) for automation and continuous delivery.
• Technical leadership skills to coordinate and mentor data engineering teams.
• Strong analytical abilities to solve complex problems and identify bottlenecks in data processing systems.
• Excellent communication skills to translate business requirements into technical solutions.
• Proactive in exploring new technologies and crafting strategic approaches to optimize processes and architectures.
• Designed and implemented high-performance streaming architectures using Kafka and Confluent for enterprise-scale projects.
• Built real-time data pipelines to process large volumes, integrating multiple enterprise systems.
• Applied best practices for data governance, quality control, and compliance (e.g., GDPR).
• Led initiatives to migrate monolithic systems to Kafka Streams-based architectures.

Requirements

• Certifications (plus):
• Confluent Certified Developer for Apache Kafka.
• Cloud certifications (e.g., AWS Certified Solutions Architect, Google Cloud Professional Data Engineer).
• Additional certifications in Big Data tools or related technologies.

Benefits

• Opportunity to lead major projects.
• Recognition as a professional and as a person.
• Work Life Balance and premium benefits.
• Possibility to become a shareholder in the company.
• Stability and job security.
• Fair compensation.