Platform Engineer

he use of the platform by building intelligent telemetry.

• Build data ingestion pipelines for batch and near real time analytics use-cases.

• Have a strong desire to educate others and implement standard methodologies.

• Position yourself as a go-to consultative resource and solution specialist for Data Engineers and analysts.

• Work collaboratively with data operations team to develop monitoring and alerting on data platforms and services

• Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management

• Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

The Team

As a part of the US Strategy & Analytics Offering Portfolio, the AI & Data Operations offering provides managed AI, Intelligent Automation, and Data DevOps services across the advise-implement-operate spectrum.

Qualifications

Required

• 2+ years of professional experience with Java/Scala based data platforms.

• 2+ years of professional experience with Kafka, Spark, HDFS/S3 & Data lake's like Apache Iceberg.

• Worked with and understand deeply technologies like Apache Spark, Yarn MR, Kubernetes..

• Hands-on experience on one or more orchestration frameworks like Airflow, Argo, Kubeflow.

• Expertise in one or more programing languages Java/Scala/Python and NoSQL technologies like Apache Cassandra and building API services.

• Knowledge and experience in working with Docker, Splunk, Flink, Jupyter Notebook is a big plus.

• Excellent time management skills with the ability to manage work to tight deadlines.

• Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience

• Limited immigration sponsorship may be available

• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

• This is a Hybrid position: 3 days onsite at the Austin, Tx work location and 2 days remote

Preferred

• Analytical/ Decision Making Responsibilities

• Analytical ability to manage multiple projects and prioritize tasks into manageable work products

• Can operate independently or with minimum supervision

• Excellent Written and Communication Skills

• Ability to deliver technical demonstrations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $97,875 to $181,000.