Data Engineer - Ec2 Capacity Data Analytics
Amazon Web Services
Cape Town, Western Cape
2d ago
source : findojobs-za

Location field must contain 'city, state' or a zip code to perform a radius search (e.g., Denver, CO or ). City and state must be separated by a comma followed by a space (e.

g., Houston, TX )Amazon Web Services Data Engineer - EC2 Capacity Data Analytics Cape Town , South Africa Apply NowThe Capacity Data Analytics (CDA) team is part of the EC2 Capacity & Forecasting organization, which is responsible for providing the elasticity EC2 customers need to scale up / down compute resources in a cost-efficient manner.

We serve data to teams predicting customer usage across thousands of configuration combinations to deliver exactly what our customers require in just the right amount of time with just the right amount of capacity.

The team consists of Software Development Engineers and Data Engineers and owns a petabyte-scale data lake which serves research and analytics teams across EC2 and beyond.

On any given day, we use Python, Scala, Java, SQL, Lambda, CloudFormation, Athena and Glue as well as other public AWS services.

We dont expect you to be an expert in, or necessarily even be familiar with all of the technologies listed above, but we do expect you to be excited to learn about them.

You will design and implement data architectures to support analytics use cases that yield significant data quality, availability and / or business value.

You will develop and maintain automated ETL monitoring and alarming solutions using Scala, SQL, and AWS services such as CloudWatch and Lambda.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and were building an environment that celebrates knowledge sharing and mentorship.

Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

BASIC QUALIFICATIONSBachelors degree in Computer Science or related technical field, or equivalent work experience.3+ years of overall work experience in either Software Engineering, Data Engineering, Database Engineering, Bigdata Engineering, Data Science.

Experience with AWS technologies stack including Lambda, Glue, RDS, S3, EMR or similar big data solutions stackPREFERRED QUALIFICATIONSDemonstrate efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data.

  • Demonstrable proficiency in distributed systems and data architecture; design and implementation of batch and stream data processing pipelines;
  • knows how to optimize the distribution, partitioning, and MPP of high-level data structuresAmazon 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.

    Report this job
    checkmark

    Thank you for reporting this job!

    Your feedback will help us improve the quality of our services.

    Apply
    My Email
    By clicking on "Continue", I give neuvoo consent to process my data and to send me email alerts, as detailed in neuvoo's Privacy Policy . I may withdraw my consent or unsubscribe at any time.
    Continue
    Application form