Data Software Engineer

We are looking for a highly skilled and experiencedData Software Engineer to join our team and contribute to developing data-centric applications.

You will collaborate with state-of-the-art Big Data tools, cloud technologies, and cross-functional teams to design innovative solutions for complex business challenges.

Responsibilities

• Build and enhance data software applications utilized by Data Integration Engineers
• Create and deploy sophisticated analytical solutions with Spark, PySpark, NoSQL, and other Big Data tools
• Integrate advanced features using cloud platforms like AWS to optimize data workflows
• Partner with product and engineering teams to gather insights and support decision-making
• Coordinate with architects, technical leads, and other teams to ensure unified solutions
• Assess business needs and technical environments to deliver well-suited technical implementations
• Conduct code reviews to promote best practices and ensure high-quality code
• Validate and test solutions against functional, technical, and performance standards
• Document projects comprehensively to facilitate future reference and development
• Engage with clients to understand their needs and provide expert technical guidance

Requirements

• Degree in Computer Science, Software Engineering, or a related field at the bachelor’s or master’s level
• Background in Data Software Engineering, with 2+ years of experience in Big Data technologies
• Knowledge of data engineering concepts, including data management, storage, visualization, operations, and security
• Strong understanding of data ingestion pipelines, Data Warehousing, and Data Lakes
• Background in programming languages such as Python, Java, Scala, or Kotlin
• Expertise in SQL and NoSQL databases
• Proficiency in Big Data tools, particularly Spark and PySpark
• Capability to design and deploy solutions on AWS cloud platforms, including Glue and RedShift
• Understanding of CI/CD pipelines and workflows for integration and deployment
• Familiarity with containerization and tools like Docker, Kubernetes, and Yarn
• Skills in utilizing Databricks for advanced data analytics and engineering
• Advanced proficiency in English, both written and spoken, at a B2 level or higher

Nice to have

• Familiarity with additional Big Data tools, including Hadoop, Hive, and Flink
• Understanding of SDLC methodologies, focusing on Agile practices
• Competency in implementing and managing the software development lifecycle effectively