Ruby on Rails, Java Programming, Design, Python Programming, Database, SQL, AWS, Apache Hadoop, Apache Kafka, Scala Programming, Perl Programming, Apache Cassandra, Data Modeling, NoSQL, Docker, Kubernetes-K8s, Google Cloud Platform (GCP), Apache NiFi, SPARK Programming, Storm, HBase, StreamSets, Bash scripting, Mesos, Apache Flink, Data Engineering, Large scale data processing, ETL frameworks
Secureworks® (NASDAQ: SCWX) a global cybersecurity leader, enables our customers and partners to outpace and outmaneuver adversaries with more precision, so they can rapidly adapt and respond to market forces to meet their business needs. With a unique combination of cloud-native, SaaS security platform and intelligence-driven security solutions, informed by 20+ years of threat intelligence and research, no other security platform is grounded and informed with this much real-world experience.
We enjoy competitive compensation and benefits packages, and reward and recognize our employees for exceptional results. A constant focus on continued learning and growth keeps our team members engaged and excited about “what’s next.” We offer flexible work options when available, and emphasize the importance of work-life balance. We know that when our people are rewarded, recognized, and rejuvenated, we win as a team.
Role Overview
We are looking for a detail-oriented, talented, and enthusiastic data engineer to work in a fast-paced, startup-like environment with a seasoned cross-functional team of Security Experts, Data Scientists, and Machine Learning Engineers to advance the state-of-the-art in network defense. If you love the challenges that come with big data then this role is for you. Duties include large-scale data routing, modeling, extraction, transformation, loading, warehousing, and composing such systems together with support for monitoring and mediation logic. You will use the latest big data platforms and technologies (e.g. NiFi, Spark, Kafka, NoSQL, Docker, Kubernetes, AWS/GCP) to help federate algorithms and applications across many clouds as part of the next generation Secureworks platform.
The ideal candidate will have a software development background with an emphasis on distributed systems and some familiarity with data science or machine learning, though personal expertise is not required. This role requires a data engineer that can take architectures from concept to reality and work well within a collaborative environment. If you’re an engineer with experience solving big data problems, you might have what it takes to become an elite member of our team and help us innovate faster than the bad guys.
Key Responsibilities
Minimum Requirements
Preferred Experience
Dell is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Dell are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Dell will not tolerate discrimination or harassment based on any of these characteristics. Learn more about Diversity and Inclusion at Dell .
Dell Technologies Inc. is an American multinational technology company headquartered in Round Rock, Texas. It was formed as a result of the September 2016 merger of Dell and EMC Corporation (which later became Dell EMC). Dell's products include personal computers, servers, smartphones, televisions, computer software, computer security and network security, as well as information security services. Dell ranked 35th on the 2018 Fortune 500 rankings
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