Big Data Hadoop Engineer

Technology and Data - Software Engineer 4 - Contingent (Big Data Hadoop Engineer)
Location:Charlotte, NC - 28202 - Hybrid Roles (3 Days Onsite/2 DaysWFH)

Job Descriptions:

• In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
• Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
• Strategically collaborate and consult with client personnel.

Required Qualifications:

• 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
• Design and implement automated spark-based framework to facilitate data ingestion, transformation and consumption.
• Implement security protocols such as Kerberos Authentication, Encryption of data at rest, data authorization mechanism such as role-based access control using Apache ranger.
• Design and develop automated testing framework to perform data validation.

• Enhance existing spark-based frameworks to overcome tool limitations, and/or to add more features based on consumer expectations.
• Design and build high performing and scalable data pipeline platform using Hadoop, Apache Spark, MongoDB, Kafka and object storage architecture.
• Work with Infrastructure Engineers and System Administrators as appropriate in designing the big-data infrastructure
• Collaborate with application partners, Architects, Data Analysts and Modelers to build scalable and performant data solutions.
• Effectively work in a hybrid environment where legacy ETL and Data Warehouse applications and new big-data applications co-exist
• Work with Infrastructure Engineers and System Administrators as appropriate in designing the big-data infrastructure.
• Support ongoing data management efforts for Development, QA and Production environments
• Provide tool support, help consumers troubleshooting pipeline issues.

• Utilizes a thorough understanding of available technology, tools, and existing designs.
• Leverage knowledge of industry trends to build best in class technology to provide competitive advantage.

Required Qualification:

• 5+ years of experience of software engineering experience

• 5+ years of experience delivering complex enterprise wide information technology solutions
• 5+ years of experience delivering ETL, data warehouse and data analytics capabilities on big-data architecture such as Hadoop
• 5+ years of Apache Spark design and development experience using Scala, Java, Python or Data Frames with Resilient Distributed Datasets (RDDs), Parquet or ORC file formats
• 6+ years of ETL (Extract, Transform, Load) Programming experience

• 2+ years of Kafka or equivalent experience

• 2+ years of NoSQL DB like Couchbase/MongoDB experience.

• 5+ experience working with complex SQLs and performance tuning

Desired Qualification:

• 3+ years of Agile experience

• 2+ years of reporting experience, analytics experience or a combination of both
• 2+ years of operational risk or credit risk or compliance domain experience

• 2+ years of experience integrating with RESTful API

• 2+ years of experience with CICD tools.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.