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March

Data Engineer - Aws Networking

Amazon Corporate Services Pty - Sydney, NSW

IT
Source: uWorkin

JOB DESCRIPTION

DESCRIPTION

How often have you had an opportunity to build a big business, solving significant customer problems through innovative technology, from the beginning? The AWS Network organization is looking for passionate, hard-working, and talented individuals to join our fast paced, start-up environment to help invent the future.

As a Data Engineer, you will get the exciting opportunity to work on very large data sets in one of the world's largest and most complex data warehouse environments. You will work closely with the business and technical teams in analysis on many non-standard and unique business problems and use creative-problem solving to deliver actionable output.

The ideal candidate has expertise gathering customer needs and insights, designing logical schema's that organise data in a meaningful, efficient way, and knows how to build scalable and maintainable solutions. They are an expert at data modeling, building end to end data pipelines to stream data from multiple sources, ETL design, have hands-on knowledge of databases such as Redshift, and experience developing user interfaces. They are self-starter, comfortable with ambiguity, with strong attention to detail. They are motivated to achieve result in a fast-paced and ever-changing environment with ability to work effectively with cross-functional teams. A successful candidate will have a track record of partnering closely with customers to invent solutions to complex data problems. They have built trusting relationships with business partners and have experience generating insights that enable senior leaders to make critical business decisions.

BASIC QUALIFICATIONS

· Bachelor’s degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline
· 5+ years of relevant experience in data engineering roles
· Detailed knowledge of data warehouse technical architectures, data modelling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding
· Proficient in at least one or more programming languages: Java, Python, Ruby, Scala
· Experienced with AWS services such as Redshift, S3, EC2, Lambda, Athena, EMR, AWS Glue
· Experience developing data visualisation and reporting with tools such as Amazon QuickSight, Metabase, Tableau, or similar software
· Up to speed on recent advances in distributed systems (e.g. MapReduce, MPP architectures, and NoSQL databases).
· Experience building metrics deck and dashboards for KPIs including the underlying data models.
· Understand how to design, implement, and maintain a platform providing secured access to large datasets

PREFERRED QUALIFICATIONS

· Master’s degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline
· 5+ years of work experience with ETL, Data Modelling, and Data Architecture.
· Experience or familiarity with newer analytics tools such as AWS Lake Formation, Sagemaker, DynamoDB, Lambda, ElasticSearch.
· Experience with Data streaming service e.g Kinesis Kafka
· Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
· Proven track record partnering with business owners to understand requirements and developing analysis to solve their business problems
· Proven analytical and quantitative ability and a passion for enabling customers to use data and metrics to back up assumptions, develop business cases, and complete root cause analysis

Amazon Web Services is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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