AWS Solutions Engineer - Big data - Scotland - £55K + Bonus


Premium Job From Nigel Frank International

Recruiter

Nigel Frank International

Listed on

10th July 2018

Location

Scotland

Salary/Rate

£55000 - £60000

Type

Permanent

This job has now expired please search on the home page to find live IT Jobs.

AWS Solutions Engineer - Big data - Scotland - £55K + Bonus

Type: Permanent

Location: Scotland

Salary: £55k Base

Benefits: 10% bonus + Training and certification in all database technologies + £5 a day travel allowance

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

Do you have a passion for data? Join a leading professional services firm focused exclusively on data and analytics. They own their solutions, providing business and technology landscape review, gap analysis, and go-forward strategy for their clients.

Data engineers are challenged with building the next generation of data solutions for many of the most high-profile and technologically-advanced organizations nationally. their engagements typically target a variety of use cases across data engineering, data science, data governance, and visualization.

Solutions Engineers deliver value through....

* Hands-on, self-directed design and development of highly-scalable, reliable, and performant pipelines to consume, integrate and analyse large volumes of complex data using a variety of best-in-class proprietary and open-source platforms and tools

* Demonstration of technical, team, and solution leadership through strong communication skills to recommend actionable, data-driven insights

* Collaboration with team members, business stakeholders and data SMEs to elicit requirements and to develop business metrics and analytical insights

* Internal contribution and influence over the growth of their consultancy with direct lines of communication from team member to CEO

A Solutions Engineer's skills include, but are not limited to...

* Bachelor's Degree and work experience

* Professional IT work experience

* SQL

* Programming / Scripting (Python, Java, C/C++, Scala, Bash, Korn Shell)

* Linux / Windows (Command line)

* Big Data (Hadoop, Flume, HBase, Hive, Map-Reduce, Oozie, Sqoop, Spark)

* Cloud Platforms (AWS, Azure, Google Cloud Platform)

* Data Concepts (ETL, near-/real-time streaming, data structures, metadata and workflow management)

* Data Integration Tools (Ab Initio, DataStage, Informatica, SSIS, Talend)

* Databases (DB2, HANA, Netezza, Oracle, Redshift, Teradata, Vertica)

* Markup Languages (JSON, XML, YAML)

* Code Management Tools (Git/GitHub, SVN, TFS)

* DevOps Tools (Chef, Docker, Puppet, Bamboo, Jenkins)

* Testing / Data Quality (TDD, unit, regression, automation)

* Solving complex data and technology problems

* Leading technical teams of 2+ consultants

* Ability to design components of a larger implementation

* Excellent communication to narrate data driven insights and technical approach

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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