The role: Hadoop – DevOps Engineer
We are looking for a Hadoop – DevOps Engineer to join our busy and dynamic team based in our India service office.
Are you our next star player?
As part of our data platform team, you will be responsible for driving the design and development of core platform frameworks that enable the delivery and construction processes for the Data Management, Data Discovery and Analytics group, and using emerging big data technologies. You will be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your different business partners daily to stay focused on common goals.
Why we need you: –
You will efficiently translate architecture and low-level requirements to design. You will perform optimizations on Big Data and investigation of job bottlenecks.
You will be responsible for the documentation, design, development of Hadoop applications and handle the installation, configuration, and support of Hadoop cluster nodes.
You will maintain and support backend MapReduce, Hive, Storm, Flink applications and Hadoop cluster. You will convert hard and complex techniques as well as functional requirements into detailed designs.
As a dedicated team member, you will propose best practices and standards, handover to the operations. You will test software prototypes and transfer them to the operational team. You will maintain data security and privacy across the data warehouse.
Who are we looking for: –
As a perfect candidate you have:
What’s in it for you?
Our experience-based salaries are competitive. Plus, there’s a discretionary annual performance bonus.
Your package will include:
What happens next?
We will aim to get back to you as soon as possible. If you meet the criteria, then we’ll invite you to a phone interview and if that goes well we’ll meet you for a zoom/face-to-face interview.
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We are an equal opportunity employer that values diversity. We do not discriminate on any protected characteristic as defined by applicable law.
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