Sr Hadoop Developer

job summary: Position Summary: - Work on building and maintaining large-scale data platforms in the financial domain - Contribute to data engineering, platform stability, and deployment automation - Partner with cross-functional teams (business, risk, compliance, architecture) to deliver data solutions - Work on Big Data platforms using: - Hadoop ecosystem (HDFS, Hive, Spark, YARN) - Streaming technologies (Kafka preferred) - Translate business requirements into scalable data solutions and technical implementations - Troubleshoot and optimize data processing jobs, batch and streaming pipelines - Ensure data quality, performance, and reliability across systems - Implement and maintain CI/CD pipelines (Jenkins, GitHub Actions, etc.) - Support automated deployments and release processes - Work with infrastructure as code tools - Monitor systems using tools like Splunk - Improve platform reliability, scalability, and operational efficiency location: Charlotte, North Carolina job type: Contract salary: $54.62 - 64.62 per hour work hours: 9am to 5pm education: Bachelors responsibilities: - Work on building and maintaining large-scale data platforms in the financial domain - Contribute to data engineering, platform stability, and deployment automation - Partner with cross-functional teams (business, risk, compliance, architecture) to deliver data solutions qualifications: Required Qualifications: - Experience with Big Data Technologies - Hadoop ecosystem (HDFS, Hive, Spark, YARN) - Demonstrated leadership and client relationship skills - Strong professional work ethic, flexible, reliable, can work individually or within a team. - Ability to work under pressure and responsible for delivery on time. - Experience in data engineering and distributed systems skills: Hadoop,Hive,Kafka,Spark,YARN,large-scale data,Big Data platforms,Big Data Technologies,scalable data solutions,streaming pipelines,data processing,data solutions,deployment automation,automated deployments,distributed systems,GitHub Actions,HDFS,data engineering,infrastructure as code tools,Jenkins,Splunk,platform reliability,Streaming technologies,flexible,professional work ethic,leadership,Ability to work under pressure,Troubleshoot,reliability,work individually,architecture,operational efficiency,business requirements,client relationship skills,data quality,financial,risk,scalability,technical implementations Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.