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Tier-1 brand, mid-level experience band, and metro location produce high candidate competition.
Core Scala/Spark/Hadoop skills are transferable, but banking data governance adds moderate domain bias.
Explicit 5–8 years plus mandatory Scala, Hadoop, Spark and ServiceNow requirements make filters strict.
Design, develop, and optimize scalable ETL processes and data pipelines using Hadoop ecosystem technologies and Scala for home loan savings business applications.
Maintain and troubleshoot Big Data jobs, implement data quality checks, and ensure compliance with data governance and security standards.
Manage incident, problem, and change management using ServiceNow adhering to ITIL processes within Deutsche Bank's environment.
5-8 years of hands-on experience in data engineering, ETL development, or Big Data role.
Expert-level proficiency in Scala programming language and extensive experience with Hadoop ecosystem components including HDFS, Spark (Spark SQL, Spark Streaming), Hive.
Proficiency with ServiceNow for incident, problem, and change management.
Bachelor's degree in Computer Science, IT, Engineering, or related field, or equivalent practical experience.
Experienced in designing and implementing complex ETL processes for large-scale data environments with high-performance and fault tolerance.
Strong operating style suited to global cross-functional collaboration and clear communication of technical concepts to diverse audiences.
Prior exposure to financial services or regulatory data environments is an advantage but not mandatory.