Extensive Python/React hands-on experience. This role incorporates both hands-on, and Team/People Management elements, roughly on a 60/40 split. Play a key hands-on role in a product-focused squad.

Hands-on experience with Rockwell automation systems, InTouch, and Wonderware. The ideal candidate will bring expertise in OT system patching, security, and automation, with hands-on experience in key technologies such as Rockwell, InTouch, and Wonderware.

Hands-on experience and specialization in various data and analytics disciplines including some of the following (data engineering, ETL/ELT, ML/AI, streaming, API integration and development, data/dev ops, data science, data virtualization.

Hands on operational experience with vulnerability management scanning tools (e.g. Qualys, Rapid7, Tenable, CrowdStrike, Tanium, Defender) including the ability to deploy, configure, and run these tools.

The technical lead must have hands-on expertise in millimeter-wave circuit design and testing, demonstrated knowledge of RF, microwave millimeter-wave and mixed-mode design techniques and hands-on experience in performing high-frequency measurements.

Hands-on knowledge/experience with Rockwell, Schneider Electric, and Siemens PLC’s. Hands-on knowledge/experience with Aveva Wonderware, Aveva Plant SCADA (Citect), VTScada, and Ignition software.

Extensive hands-on experience with AWS ecosystem data services, including tools like DBT, Airbyte, Airflow, and AWS Glue, for data modeling, pipeline development, performance optimization, and ensuring data provenance.

Hands-on experience and proficiency with data stacks including Airflow, Databricks, and dbt, as well as data stores such as Cassandra, Aurora, and ZooKeeper. Proficiency and hands-on knowledge in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, data streaming like Kafka, RabbitMQ.

Hands-on experience and expertise in data manipulation using tools such as Python, SQL Spark, and Databricks. A background in one key discipline, preferably Data Engineering, with hands-on experience with orchestration and transformation tools like Dagster or Airflow and DBT.

Hands-on experienced in troubleshooting on Cisco FTD, ASA, Palo alto, Panorama, Checkpoint SMS, MDS, VSX, Hands-on experienced in troubleshooting on Cisco FTD, ASA, Palo alto, Panorama, Checkpoint SMS, MDS, VSX.

2+ years of experience as a hands-on Controls or Automation Engineer working on industrial automation systems. Safety PLCs (Rockwell Automation, Siemens Safety Integrated or Omron.

Our customer is seeking a dedicated and detail-oriented individual to join their team as an Azure Data Engineer, with hands-on experience with various Azure services including but not limited to Azure Data Factory, Databricks, Data Lake, and Power BI. They should be able to design build, and maintain ETL pipelines, manage data lakes and create insightful reports and visualizations.

Strong hands-on experience working with various AWS services including but not limited to IAM, EC2, S3, ELB/ALB, RDS/Aurora, ElastiCache, MKS, MQ etc.  Strong hands-on experience with Infrastructure as Code (IaC) using Terraform, CloudFormation.

API Data Quality checks and Frontend Testing: Hands-on experience with Cypress, Postman, and monitoring tools like Datadog (or equivalents like New Relic or Splunk). 7+ years of experience, with 5+ in Cloud Expertise and Technical Operations: Proven background in architecting and managing cloud solutions (AWS, Azure, Google Cloud), along with hands-on experience in complex technology operations environments, including infrastructure, network, security, and incident management and 2+ years managing or mentoring roles within technology operations (ITSM/ITOM), or a related field.

Hands-on experience with guiding the virtual data model definition, defining Data Virtualization architecture and deployment with focus on Azure, Databricks, PySpark technologies.