Data Engineer (Data & Systems Engineering)

About the role

We are seeking a Data Engineer to join our Data & Systems Engineering team. In this role, you will be responsible for enhancing and optimizing the data flow between our systems and refining our data pipeline architecture. You will collaborate closely with cross‑functional teams to gather requirements, design scalable solutions, and implement cutting‑edge data products.

Key responsibilities

• Develop and maintain robust data pipelines for extracting, transforming, and loading data from diverse sources.
• Identify, design, and implement process improvements, including automation of manual processes, optimization of data delivery, and design of scalable infrastructure.
• Gather and analyze telemetry data to provide actionable insights, enhancing the efficiency of data systems and key business performance metrics.

Required profile

• Background in Computer Science, Computer Engineering, Information Systems, or a related field.
• Minimum of 2 years of hands‑on experience with object‑oriented programming languages such as Python, Golang, Java, or C++ (project or internship experience considered for recent graduates).
• Proficiency with both relational SQL and NoSQL databases.
• Experience building ETL flows using tools such as NiFi or Airflow.
• Familiarity with microservices architecture and RESTful API design.

Required skills

• Python
• Golang
• Java
• C++
• SQL
• NoSQL
• NiFi
• Airflow
• Microservices
• RESTful API
• Agile SCRUM
• Hadoop
• Spark
• Kafka
• Elasticsearch
• Solr