Senior Data Software Engineer

We are looking for an experiencedSenior Data Software Engineer with a deep understanding of Apache Spark, Python/Java/Scala and proficiency with any cloud providers.

In this role, you will develop and maintain data pipelines, working closely with cross-functional teams.

If you are passionate about using your data engineering skills to make a significant impact and excel in a collaborative, growth-oriented environment, we encourage you to apply and join us.

Responsibilities

• Develop and maintain data pipelines for efficient data processing and analysis
• Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions
• Create and maintain technical documentation for all data engineering projects
• Work with data scientists to ensure models are production-ready
• Ensure all data engineering solutions are high-quality, reliable and scalable
• Troubleshoot and resolve data-related issues promptly and efficiently
• Stay up-to-date with emerging data engineering technologies and trends
• Participate in code reviews to ensure code quality and adherence to standards

Requirements

• 3+ years of experience in Data Software Engineering
• Expertise in Apache Spark, Python/Java/Scala
• Background in developing and maintaining data pipelines
• Proficiency in SQL and relational tables
• Understanding of SDLC, quality gates and Agile methodologies
• B2+ English level, both verbal and written
• Hands-on experience with any major cloud provider: Azure, AWS or GCP

Nice to have

• Competency in statistical models and their practical applications
• Familiarity with Databricks and MLOps for efficient model deployment and management
• Hands-on experience with streaming processing technologies like Kafka, Spark Streaming and Flume
• Practical or theoretical knowledge of NoSQL databases