Big Data Engineer - AWS - London - up to £120K + Benefits


Premium Job From Nigel Frank International

Recruiter

Nigel Frank International

Listed on

17th July 2018

Location

London

Salary/Rate

£100000 - £120000

Type

Permanent

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Big Data Engineer - AWS - London - up to £120K + Benefits

Type - Permanent

Location - London

Salary - up to £120K

Benefits - flexibility to work from home & remotely policy, personal training budget, company trips, monthly office drinks and lunches.

Big Data Engineer - AWS (Redshift, EC2, S3, Hadoop, Lambda, etc.)

I am looking for highly talented hands-on technical experts to collaborate with clients and partners on key engagements and help accelerate a growing Professional consultancy business. This is an excellent opportunity to join a world class technical team, working with some of the best and brightest engineers while also developing your skills and furthering your career within one of the most innovative and progressive consultancy companies.

You will engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and we are obsessed about strong success for the Customer. This team collaborates across the entire AWS spectrum to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. These professional services engagements will focus on customer solutions such as Big Data and Business intelligence. This role will specifically focus on Big Data capabilities and helping their clients and partners to remove the constraints that prevent their clients from leveraging their data to develop business insights.

We are looking for hands on architects/developers who are passionate about:

* Helping customers architect scalable, highly-available big data solutions that leverage AWS services

* Working as a technical leader alongside customer business, development, and infrastructure teams.

* Advising on and implementing AWS best practices

Basic Qualifications

* Respectable experience as a technical specialist in Customer-facing roles

* Hands-on technical big data architecture experience

Preferred Qualifications

* AWS Certified Solutions Architect (Professional)

* Hands on experience leading large-scale global data warehousing and analytics projects.

* Demonstrated industry leadership in the fields of database, data warehousing or data sciences.

* Real time streaming technologies and time series with tools such as Spark, Flink, Samza etc.

* Hadoop Big Data knowledge - Hive metastore; storage partitioning schemes on S3 and HDFS

* ETL - understanding and custom coding

* NoSQL understanding and use case application - Cassandra, HBase, DyanoDB

* Understanding and use cases application of columnar data stores

* Caching and queueing technologies - Kafka/Kinesis, Rabbitmq/SQS, Redis/Memcache etc.

* RDBMS skills - SQL, optimization techniques, etc.

* Scripting/Programming skills - Python, Java, Scala, Go

* Excellent understanding of operating systems including troubleshooting

* Data warehousing knowledge

* Security at rest and in transit

If this sounds like you, let's talk!

Please do not hesitate to contact Brad @ Jefferson Frank on 0203 808 7292 or email [email protected]

AWS, EMR, Redshift, Hadoop, R, ETL, SQL, sqoop, hive, spark, big data, architect, pig, Oozie, HDFS, Glasgow, platform, analytics, Data science, RDS, S3, EC2, Lambda, Glue, data pipeline, spark, Hive, Scala, Python, Kafka, MapReduce, HBase, Hive, Apache Spark, Java, Apache, Kafka, Big Data, Spark, Solution Architecture, Cloudera, Apache, Pig, Hadoop, NoSQL, Cloudera Impala, Scala, Python, Data, Engineering, Big Data Analytics, Large Scale Data Analysis, ETL, Linux, Kudu

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