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Strong employer brand, mid-level (2-5 years), metro location, and common data role increase competition.
Spark and data engineering skills are broadly transferable across industries with low background sensitivity.
Explicit 2-5 years requirement plus mandatory Spark/Scala data engineering skills raise shortlisting strictness.
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Design, develop, and integrate scalable software solutions and data pipelines using Apache Spark and Scala.
Mentor junior engineers and collaborate with cross-functional teams including Quality Assurance and DevOps to ensure high-quality software delivery.
Conduct system requirements analysis, assist with software updates, troubleshoot complex technical issues, and train operational staff on application use.
Work Experience Required: 2-5 years in software development or related roles.
Mandatory technical skills include Apache Spark and Scala for data pipeline and software development.
Bachelor's degree preferred; combination of coursework and extensive related professional experience may be considered.
Flexible to work nights, weekends, and variable schedules as necessary.
Experienced in designing and optimizing ETL/ELT processes and data architecture for structured and semi-structured data using distributed data processing.
Capable of providing technical leadership and mentoring within teams, ensuring collaboration with multiple stakeholders such as data scientists, analysts, and DevOps.
Proven ability to implement data quality, governance practices, and compliance with security and privacy standards in software projects.