Job Description
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As a senior data engineer, you will play a key role in understanding business requirements and collaborating with stakeholders and designers to develop effective solutions.
Our ideal candidate will have expertise in Hadoop development and implementation, as well as experience with disparate data sets. Additionally, knowledge of Teradata is a plus, and proficiency in IntelliJ IDEA, AutoSys, WinSCP, Putty & GitHub is required.
The successful candidate will be responsible for designing, building, installing, configuring, and supporting Hadoop environments. They will also be expected to transform data using Spark & Scala and translate complex functional and technical requirements into detailed design.
In this role, you will perform analysis of vast data stores and uncover insights. You will maintain security and data privacy, create scalable and high-performance web services for data tracking, and implement high-speed querying.
Furthermore, the chosen candidate will manage and deploy HBase, test prototypes, and oversee handover to operational teams. Proposing best practices/standards is also an essential part of this position.
Required Skills and Qualifications
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* Expertise in Hadoop development and implementation
* Experience with disparate data sets
* Knowledge of Teradata (plus)
* Proficiency in IntelliJ IDEA, AutoSys, WinSCP, Putty & GitHub
* Strong analytical and problem-solving skills
* Excellent communication and collaboration skills
Benefits
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As a member of our team, you can expect a challenging and rewarding work environment with opportunities for growth and professional development. Our company offers a competitive salary and benefits package, as well as access to ongoing training and education.
Others
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If you are a motivated and detail-oriented individual with a passion for data engineering, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter, highlighting your relevant experience and qualifications.