Back
Tier-1 brand, metro location, mid-level generalist data engineer role attracts many qualified applicants.
Core big-data skills are transferable, though Cloudera and financial-services experience increase domain specificity.
Explicit 6+ years requirement plus mandatory Hadoop, Spark, Cloudera and sector experience enforces strict screening.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and deliver scalable big data solutions within Hadoop ecosystem focusing on performance, reliability, and high-volume processing.
Lead end-to-end technical delivery using Cloudera, Apache Spark, Airflow, NiFi, Ozone, Iceberg, including architecture definition and optimization.
Maintain operational excellence by meeting SLAs, driving incident management, root cause analysis, and mentoring team members in technical best practices.
6+ years of relevant experience; preference for 4-5 years in Financial Services sector delivering secure solutions.
Bachelor's degree in Information Systems, IT, Computer Science, Engineering, or equivalent experience.
Hands-on expertise with Hadoop ecosystem technologies: Cloudera distribution, Apache Spark, Apache Airflow, Apache NiFi, Apache Ozone, Apache Iceberg.
Advanced knowledge of software engineering concepts and methodologies.
Experienced in building and optimizing distributed data pipelines and frameworks for large-scale data processing using Apache Spark and related technologies.
Demonstrates strong technical leadership with ability to manage complex architectures, performance benchmarking, and technology evaluations.
Comfortable managing production incidents and working collaboratively in geographically distributed teams, with excellent communication and mentoring skills.