Lead the team to develop and maintain automated ETL pipelines for big data using languages such as Scala, Spark, SQL and AWS services such as S3, Glue, Lambda, SNS, SQS, KMS. Example: ETL jobs that process a continuous flow of JSON source files and output the data in a business-friendly Parquet format that can be efficiently queried via Redshift Spectrum using SQL to answer business question.Design and implement data architecture to support analytics use cases that yield significant data quality, availability and/or business value.Develop and maintain automated ETL monitoring and alarming solutions using Java/Python/Scala, Spark, SQL, and AWS services such as CloudWatch and Lambda.Implement and support reporting and analytics infrastructure for internal business customers using AWS, services such Athena, Redshift, Spectrum, EMR, and QuickSight.Develop and maintain data security and permissions solutions for enterprise scale data warehouse and data lake implementations including data encryption and database user access controls and logging.Develop and maintain data warehouse and data lake metadata, data catalog, and user documentation for internal business customers.Develop, test, and deploy code using internal software development tool sets. This includes the code for deploying infrastructure and solutions for secure data storage, ETL pipelines, data catalog, and data query.

Responsibilities include, but are not limited to:· Driving changes that improve support-related processes. Identifying and addressing any gaps in internal tools and processes· Identifying and addressing knowledge gaps, ensuring common understanding across the team; Streamline cross-site processes and procedures· Own and drive various aspects of quality assurance from technical support team perspective· Review of cases and providing appropriate feedback to support engineers, coaching them on their customer interactions and troubleshooting· Analyzing previous customer cases to identify trends and customer pain-points to drive improvements across our offerings· Monitoring key network indicators like service levels, contact counts and quality metrics; establishing quality metrics as needed· Partnering with our internal Training team to provide input on new service offerings, features, mentoring, and define general technical needs of the team· Training and mentoring new hires and team members to ensure they have the right knowledge to help customers· Assisting with team coordination and customer communications during AWS critical launches and support events· Assisting the team with handling customer contacts (case/chat/phone) as needed· Acting as a key member of the hiring team that hires and develops the best· Acting as an escalation point within our team

The Big Data Support team specialises in helping customers with streaming, storing and processing vast amounts of data in the Cloud. We also help our customers to leverage this data to produce business insights, which may include using Machine Learning/Artificial Intelligence (ML/AI). Our engineers focus on helping customers use and integrate services in what is arguably our industry’s most exciting space. The portfolio of services covers EMR (Hadoop), DynamoDB (NoSQL), ElasticSearch, Kinesis, Athena, ML/AI & more. With a global presence in eight countries. Our follow the sun support and shift model mean you will not be on-call.We are seeking talented Systems engineers well versed in maintaining infrastructure of large complex systems/clusters. You will also be able to write code to automate maintenance, monitor performance or crunch data to solve business problems. We invest heavily in knowledge acquisition and skills development providing unlimited opportunities for technical and career development. If you have a spark for knowledge – we have the fuel for the fire.Typical DayEvery day will bring new and exciting challenges on the job while you: · Apply advanced troubleshooting techniques to provide tailored solutions for our customers · Drive customer interactions. Phone, Chat, Emails, Screen shares and conference calls · Leverage your customer support experience to provide feedback to internal AWS teams on how to improve our services · Interact with leading technologists around the world

Making sure technology is integrated in the best way for the school to remain competitive on the technology side, as well as making sure whatever resources are required by the staff are met while staying within budgetary guidelines. Planning and implementing various school-wide projects as well as managing and mentoring employees to complete their own sub-projects.

Keep the network running smoothly as well as making sure software and hardware meets the requirements of end users. Planning and purchasing infrastructure upgrades

Hardware and software consulting for small and medium businesses. I also was involved in creating a software program that took all the variables of a person's life and determined what home loans they qualify for as well as all the costs involved over the lifetime of the loan

I was responsible for maintaining and rolling out new features for the invoicing system for one of the largest cupboard manufacturers in the south hemisphere. I also helped write a system which automated many of the processes involved in managing a cupboard factory, from board design importing to bar code scanning parts for tracking through the factory