Big Data Developer

Big Data Developer

Why is our Data Engineering team the next step for you?

Worldpay is one of the largest global payments (Fintech) businesses in the world that that has put data at the centre of the business by creating a new Data Transformation team that spans business and technology. At the heart of this is our large Hadoop based Enterprise Data Platform that used to provide data insights both to our internal teams and our customers.

You will be a key member of the data transformation team working on our new data platform.

How will you add value on a day-to-day basis?

You will be working on Enterprise Data Platform which is build by using  innovative ‘Big Data’ technologies that provides powerful analytic capabilities for Worldpay. A key task of this role is to load data from multiple operational systems into our Data Lake, and to combine this data in ways that were not possible before.  Much of the data is highly structured while some has the flexible characteristics more typical of ‘big data’.  Because of the large amount of structured data we use Hive QL (essentially SQL) as well as Hadoop’s inbuilt data loading tools for much of the processing. 

While working within a dynamic development team you will build data loading and transformation jobs using the Hortonworks toolset. This will also include building data migration scripts to take all data stores in the cluster from one release to the next, without loss of data. You will also write tests to verify that loads and transformations work as intended and thereby follow agreed patterns to ensure consistency throughout the implementation

What will make you the ideal candidate?

Extensive knowledge of standard SQL (SQL-92) gained using large scale database systems such as Netezza, DB2, Sybase or Oracle is key to this role. You will have experience of data loading, either scripting or using ETL technologies, in particular we would like to see evidence of development experience in an environment using strict source-code control and release procedures. Existing hands on experience with Big Data technologies like Apache Hadoop, MapReduce, HDFS, Hive, Pig, Sqoop and NoSQL databases, Hbase and related standards and technologies is advantageous.

You will have the ability and willingness to create and maintain concise, accurate, readable, relevant documentation on our wiki (we use Confluence; knowledge of other source code control systems will be useful), along with a good understanding of UNIX systems, especially Linux and you will also have the ability to develop reliable, maintainable, efficient code in most of SQL, Linux shell, Java and Python.

How is Worldpay changing the world?

We are leaders in modern money. Each and every time you use your debit card or credit card to pay for something, whether online or face-to-face, there’s a good chance it happened because of us. On an annual basis our innovations, systems and technology enable billions of money transactions globally. Working with customers large and small, we help them to take your payments quickly, safely and reliably, allowing them to grow their businesses and making your life more convenient in the process. As a leader in global fintech and the largest London IPO since 2011, this is a great time to join us in building for the next phase of the Worldpay journey.

This is a great opportunity to gain skills in the Hortonworks Data Platform and related tools in an innovative and passionate environment.

 

Reference

Job Number

JO-1701-10072

Location

London / England

Business Area

Tech and Engineering

Employment Type

Permanent- Full-time

Posted

March 21, 2017

Closes

April 30, 2017

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