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(Update March 2019) To get a definition of the roles needed to maximize your organization’s investment in cloud, explore the latest skills in demand by job role with Cloud Academy’s Cloud Roster™.
Cloud Academy is always on the lookout for the most promising Cloud Computing opportunities.
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Because of just how big “The Cloud” is, I am trying to narrow our job searches a little. So this week we will focus on some particularly promising AWS Big Data positions from around the world.
First, though, let’s try and pin down exactly what Big Data is. The following excerpt is from the official AWS whitepaper Big Data Analytics Options on AWS and should give an idea.
As we become a more digital society the amount of data being created and collected is accelerating significantly. The analysis of this ever-growing data set becomes a challenge using traditional analytical tools. Innovation is required to bridge the gap between the amount of data that is being generated and the amount of data that can be analyzed effectively. Big data tools and technologies offer ways to efficiently analyze data to better understand customer preferences, to gain a competitive advantage in the marketplace, and to use as a lever to grow your business. The AWS ecosystem of analytical solutions is specifically designed to handle this growing amount of data and provide insight into ways your business can collect and analyze it.
1. Lead Quality Engineer (Big Data/Analytics, AWS, Scale)
As a key member of the Quality Engineering team, you will work directly with business stakeholders to lead and execute a variety of projects on our streaming audio platform and big data services.
You will hold responsibility for full life-cycle management, including requirements analysis, test case planning and design, and execution of manual and automated tests and procedures. You will work side by side the engineering team and coordinate the efforts of testers onsite and out of the house.
2. Software Development Engineer – Big Data, AWS Elastic MapReduce (EMR)
Want to change the world with Big Data and Analytics? Come join us on the Amazon Web services (AWS) Elastic MapReduce (EMR) team!
EMR is a massively scaled distributed service that gives users fast and predictable Big Data performance with clusters running Hadoop, Hive, Pig, Impala, Spark, Shark and more, with the ability to effortlessly scale up and down as needed. We run millions of customer clusters, enabling processing on vast datasets.
3. Big Data Engineer – SQL / ETL / AWS / Linux / SAP HANA
If you are a talented, passionate Big Data Engineer then an exciting new role has been created just for you! You’ll join a super impressive Data Analytics Team and play a key role on a number of very high profile projects in state of the art offices offering stunning views of London, an on-site gym and cool chill out area.
The benefits for the successful candidate will be:
5. Data Engineer – Visualization & Reporting
We are looking for a Data Engineer (full-time) to start immediately in our office in Berlin-Kreuzberg, Germany.
With millions of regular users and more than 7000 hours of premium content, Babbel.com is growing fast while shaping the future of learning.
You are an experienced software engineer who has built and run cloud-based analytics infrastructure in internet companies before and you want to apply your expertise in the challenging setting of a fast-moving company.
In your role, you will help to evolve our existing data architecture and infrastructure to further enable data-driven insight.
You will collaborate closely with the technical product owner for Analytics, lead technical architects and the Analytics team to deliver analytics solutions for different stakeholders as well as introduce new technologies in the area of analytics, reporting, monitoring and dashboards, and Big Data.
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