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    • Cloud Support Engineer - Cape Town - Amazon

    Amazon
    Amazon Cape Town

    4 weeks ago

    Amazon background
    Description

    Cloud Support Engineers in the Data in Transit domains support customers who are running ETL workload or analyzing large amounts of data using AWS services.

    As a part of this team, you will be working on a plethora of services such as Glue (ETL service), Athena(interactive query service), Managed Workflows of Apache Airflow etc.

    Understanding of ETL (Extract , Transform , Load) Creation of ETL Pipelines to extract and Ingest data into data lake/warehouse with simple to medium complexity Data transformations and troubleshooting ETL job issues.

    Understanding of Linux and Networking concepts.
    Excellent oral and written communication skills with multi-tasking ability.
    Master's degree in Information Science/Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field OR Bachelor's degree in the same with 1+ year of experience OR equivalent experience in a technical position


    AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.

    The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success.

    AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

    Key job responsibilities
    Intermediate expertise in ETL tools such as Talend, Informatica or similar.
    Knowledge of data management fundamentals and data storage principles
    Advanced SQL and query performance tuning skills.
    Experience integrating and managing large data sets from multiple sources
    Ability to read and understand Python and Scala code
    Understanding of distributed computing environments
    Proficient in Spark,Hive and Presto
    Experience working with docker
    Python, and shell scripting
    Customer service experience / strong customer focus
    Prior working experience with AWS - any or all of EC2, S3, EBS, Glue, Athena
    Experienced with Linux system monitoring and analysis(disk management, memory management, permissions etc.)
    Understanding of Networking concepts and protocols(DNS, TCP/IP, DHCP, HTTPS, etc.)

    A day in the life
    WHAT CAN YOU EXPECT FROM A LIFE AT AWS?
    Every day will bring new and exciting challenges on the job while you:

    • Learn and use groundbreaking technologies.
    • Apply advanced troubleshooting techniques to provide unique solutions to our customers' individual needs.
    • Interact with leading engineers around the world.
    • Partner with Amazon Web Services teams to help reproduce and resolve customer issues.
    • Leverage your extensive customer support experience to provide feedback to internal AWS teams on how to improve our services.
    • Drive customer communication during critical events.
    • Drive projects that improve support-related processes and our customers' technical support experience.
    • Write tutorials, how-to videos, and other technical articles for the developer community.
    • Work on critical, highly complex customer problems that may span multiple AWS services.
    WHY AWS SUPPORT?

    • First and foremost this is a customer support role – in The Cloud.
    • On a typical day, a Support Engineer will be primarily responsible for solving customer's cases through a variety of customer contact channels which include telephone, email, and web/live chat. You will apply advanced troubleshooting techniques to provide tailored solutions for our customers and drive customer interactions by thoughtfully working with customers to dive deep into the root cause of an issue.
    • Apart from working on a broad spectrum of technical issues, an AWS Support Engineer may also coach/mentor new hires, develop & present training, partner with development teams on complex issues or contact deflection initiatives, participate in new hiring, write tools/script to help the team, or work with leadership on process improvement and strategic initiatives.
    • Career development: We promote advancement opportunities across the organization to help you meet your career goals.
    • Training: We have training programs to help you develop the skills required to be successful in your role.

    We hire smart people who are keen to build a career with AWS, so we are more interested in the areas that you do know instead of those you haven't been exposed to yet.


    • Support engineers interested in travel have presented training or participated in focused summits across our sites or at specific AWS events.
    About the team
    About AWS

    Diverse Experiences
    AWS values diverse experiences.

    Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply.

    If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

    Why AWS?
    Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform.

    We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

    Inclusive Team Culture
    Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

    Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

    Mentorship & Career Growth
    We're continuously raising our performance bar as we strive to become Earth's Best Employer.

    That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

    Work/Life Balance
    We value work-life harmony.

    Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture.

    When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.- 2+ years of experience in big data/Hadoop with excellent knowledge of Hadoop architecture and administration and support

    • Be able to read java code, and basic coding/scripting ability in Java, Perl, Ruby, C#, and/or PHP with Databases (MySQL, Oracle, NoSQL) experience
    • Good understanding of distributed computing environments and excellent Linux/Unix system administrator skills
    • Proficient in Hadoop Map-Reduce and its Eco System (Zookeeper, HBASE, HDFS, Pig, Hive, spark, etc).
    • Good understanding of ETL principles and how to apply them within Hadoop
    • Prior working experience with AWS any or all of EC2, S3, EBS, ELB, RDS, Dynamo DB, EMR
    Amazon is an equal opportunities employer, and we value your passion to discover, invent, simplify and build. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

    Amazon is strongly committed to diversity within its community and especially welcomes applications from South African citizens who are members of designated groups who may contribute to Employment Equity within the workplace and the further diversification of ideas.

    In this regard, the relevant laws and principles associated with Employment Equity will be considered when appointing potential candidates. We are required by law to verify your ability to work lawfully in South Africa.

    Amazon requires that you submit a copy of either your identity document or your passport and any applicable work permit if you are a foreign national, along with an updated curriculum vitae.

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