Data Software Engineer

We are searching for a talented and experienced Data Software Engineer to join our team and drive the creation of data-focused applications.
You will utilize leading-edge Big Data tools, cloud technologies, and collaborate across teams to deliver innovative solutions that solve intricate business problems.
Responsibilities
Engineer and enhance data software applications that support Data Integration Engineers
Design and deploy advanced analytical solutions using Spark, PySpark, NoSQL, and other Big Data tools
Leverage AWS services to add cloud features that improve data workflow efficiency
Partner with product and engineering teams to gather requirements and enable decision support
Collaborate with architects, technical leads, and other teams to maintain solution consistency
Assess business goals and technical constraints to recommend the right implementations
Lead code review activities to encourage best practices and strong code quality
Execute validation and testing across functional, technical, and performance criteria
Produce and maintain detailed documentation to support ongoing development
Work directly with clients to understand needs and provide expert technical direction
Requirements
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related area
2+ years of hands-on Data Software Engineering experience with Big Data technologies
Good command of data engineering principles covering data management, storage, visualization, operations, and security
Strong grasp of ingestion pipelines along with Data Warehousing and Data Lakes
Programming experience in Python, Java, Scala, or Kotlin
Advanced knowledge of SQL and NoSQL data stores
Proficiency with Spark and PySpark in production data solutions
Ability to architect and deploy AWS-based solutions using Glue and RedShift
Familiarity with CI/CD approaches for integration and deployment workflows
Exposure to Docker, Kubernetes, and Yarn for containerized delivery
Working experience with Databricks for analytics and data engineering
English level of minimum B2 (Upper-Intermediate) for effective communication
Nice to have
Working knowledge of Hadoop, Hive, Flink, and related Big Data tooling
Understanding of SDLC methodologies with Agile as a key approach
Experience applying and governing SDLC implementation practices