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Senior Cloud Engineer

| Downingtown, Pennsylvania

The Robinson Group has partnered with a local, longstanding client to fill a critical new role.

Our Fortune 250 client has retained us to find a Senior Cloud Engineer with demonstrated experience in implementing both BI and advanced analytical solutions on a hybrid environment.

The position is a permanent role with our respected, global client.

This is an opportunity to be part of a major move globally to the Cloud.

Will provide relocation and they can offer transfer/sponsorship.

If local, but not commutable daily, will consider some remote work.

You will be participating in conceptualization, design, development and delivery of AI/ML solutions in Cloud and On-Premises in conjunction with senior solution architects. You will also provide engineering leadership to create and enhance data solutions enabling seamless integration and flow of data across our data ecosystem which includes AWS.

Analytics solutions will include designing and deploying visualization, AI/ML model, data ingestion (ETL), Microservices, streaming, API Management and Web applications leveraging open source and packaged tools.

This role will be closely working with leadership teams from the different organizations to establish the foundation to create value for diverse business functions such as supply chain, pricing, Industrial IOT & digital factory implementation, and will impact business units that span through multiple geographic areas.

RESPONSIBILITIES:

Ensures application solution design meet application performance criteria, security measures, release standards, and ensures application and system stability.

Architecture & design method champion to gather and analyze requirements, design and implement specific analytics solutions in a hybrid environment that is distributed across the globe between Cloud and On-Premises

Provide thought leadership around the use of industry standard tools and models (including commercially available models and tools) by leveraging experience and current industry trends.

Develop data driven solutions utilizing current and next generation technologies to meet evolving business needs.

Develop real-time data ingestion and stream-analytic solutions leveraging technologies such as Kafka, Apache Spark, NIFI, Python, HBase, Kinesis, and EMR.

Management of tools for monitoring, logging, analytics/reporting/dashboards, request management, service catalog, backup, high availability (HA), disaster recovery knowledge preferred and expertise with popular tools like Splunk and native cloud tools is highly desirable.

Collaborate with the Enterprise Architect, consulting partners and customers as warranted to establish and implement strategic initiatives.

Practice Root Cause Analysis to determine the scope and scale of issue impact. Create epics/stories and construct automation to prevent problem recurrence.

Maintain in-depth and current knowledge of the Cloud architecture, Data lake, Data warehouse, BI, IoT platform, Platform to develop and deploy advanced analytics models and ETL tools

Responsible for communication and collaboration with key stakeholders in the delivery of features

Participate in Proof of Concept (POC) work and prototyping when necessary

QUALIFICATIONS:

: 7+ years of lead engineer in delivering Data Insights and Analytical solutions with the ability to coach/provide guidance to peer and junior engineers.

3+ years of Cloud platforms with AWS tools such as S3, EC2, ECS, EKS, SageMaker, Aurora, RDS, Lambda Functions AMI, ELB, ALB, NLB, VPC, Auto Scaling configurations, DMS, Data Streaming. Multiple experiences implementing solutions for advance analytics using open source (Cloudera based solutions and AWS based solutions are preferred)

Experience implementing ETL/ELT solutions with SQL and NoSQL DBs such as Oracle, SAP Hana, Redshift, Impala, Amazon DynamoDB

Experience with Linux infrastructures, database SQL, Bigdata Platform, CI/CD tools, DevOps, scripting such as JavaScript, PHP, Python, Perl, Ruby, Java, Shell scripting

Docker and Kubernetes container orchestration and management platform

Extensive knowledge about Streaming, messaging, APIs designing RESTful services and integrated with other providers

Designing, build and deploy programs for Big Data Platform, Cloudera Data Science Workbench, Data Streaming, Cloud Computing-AWS Stack, HDFS and Cloudera based Hadoop systems

Ability to collaborate with management, users, contract resources, vendors, and other IT teams

Strong problem-solving capabilities. Results oriented. Relies on fact-based logic for decision-making.

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