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Hadoop Application System Engineer

On-site Full-time

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Experience Level

Experience

Qualifications

Required QualificationsMinimum of 2 years in application development and implementation. At least 1 year of hands-on experience with Hadoop.3 years of experience in UNIX.3 years of Java programming experience. Desired QualificationsStrong verbal, written, and interpersonal communication skills. Basic understanding of data warehousing concepts, Teradata, Oracle, DB2, Agile methodologies, and ETL (Extract, Transform, Load) programming. Additional Desired QualificationsBachelor's degree in Computer Science or a related technical field. Experience with MapReduce, HDFS, Hive, or Pig on major distributions like Hortonworks, Cloudera, or MapR. Background in large-scale data warehousing, distributed computing, and parallel processing environments. Experience collaborating with business partners to deliver analytical solutions. Hands-on experience with HBase, Spark, and Kafka technologies. Hadoop developer certification is a plus. Familiarity with unstructured datasets such as log files, emails, and text documents.

About the job

Job Description

Join our dynamic Enterprise Data and Analytics (EDA) Division, where we empower businesses through innovative Big Data solutions. Our EDA Big Data platform leverages Hadoop and Aster technologies in a multi-tenant environment, facilitating support for various Lines of Business (LOBs).

We are seeking a skilled Application System Engineer to enhance our agile Hadoop development team. This role requires a proactive individual capable of designing and implementing applications within the Big Data ecosystem. The successful candidate will aid in data management by tracking sources in the big data environment, maintaining system documentation, and capturing metadata. You will analyze, develop, and test viable use cases for the business, guiding them from concept to production. Responsibilities include writing optimized code for extracting, transforming, loading, and querying extensive datasets, including unstructured data. You will also develop standards and design patterns for Big Data applications, build and populate a data lake, and enhance your understanding of MapReduce architecture and Hadoop/Aster toolsets. A key part of this role will involve translating potentially ambiguous business requirements into actionable use cases, providing timely updates to business partners, mentoring users in data access, and contributing to the development framework for Big Data.

About ConsultAdd Inc.

ConsultAdd Inc. is a premier provider of Information Technology, Consulting, and Business Process Services. Our dedicated team of professionals offers strategic insights, technological expertise, and industry experience. We support large organizations in navigating the challenges of the future of work through flexible and efficient operational strategies, backed by a robust global delivery network. Website: www.consultadd.com

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