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Other titles : HVAC Technician, Field Service Technician, Data Center Facilities Engineer, Facilities Technician, Minimum 3 years, 5+ years preferred, of "hands on" experience with the maintenance and repair of industrial electrical and mechanical systems in mission-critical facilities to include; emergency generators (Generators, Fuel Delivery systems and Parallel Switchgear), electrical distribution (MV/LV switchgear and associated controls), critical and essential PDUs, UPS, switchgear, HVAC, air handling units, computer grade cooling systems, and building monitoring/control systems.
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Hands-on experience with some of: AWS, Databricks, Delta Lake, Airflow, DBT, Redshift, Datahub, Elementary. Knowledgeable on data governance and compliance best practices. Architect scalable data models and construct high quality ETL pipelines that act as the backbone of our core data lake, with cutting edge technologies such as Airflow, DBT, Databricks, Redshift, Spark.
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Should have hands-on experience with various CI/CD tool sets (GitHub, Jenkins, Puppet, Docker) Should be an Google Cloud Platform Certified engineer or should be holding certification on any Cloud platform.
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The engineer will be hands-on with all phases of R&D, including product definition, circuit design, layout, verification, bring-up, DVT, qualification, test, and production ramp-up.
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Proven hands-on experience with cybersecurity and networking solutions & technologies including SWG, CASB, ZTNA/VPN, NGFW, IAM, DLP, Data security, and writing regex expressions. Strong security skills that would include hands-on experience with Zscaler, Netskope, Palo Alto, Broadcom, McAfee, Check Point, Cisco, and/or similar.
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The engineer will be responsible for all aspects of creating and testing new batteries; from conceptual design based on application requirements, to hands-on assembly, through electrochemical and physical characterization.
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3+ years of experience as a hands-on Data Engineer/Architect including ETL jobs, data pipelines, and Big Data analytics. As a Gaussian Software Engineer - Data, you will be responsible for leading the architecture, design, and development of the data systems within our AI products for the semiconductor industry.
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Hands-on experience on all aspects of Cisco VoIP technology & its implementation (e.g., CUCM, Unity VM system, Paging etc. Hand-on experience of Nortel PBX system. Job Title Sr. Network Engineer.
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Hands on experience with Snowflake and dbt. Setting up and optimizing cloud data warehouse and database assets (schemas, access control, compute clusters, scaling policies) for optimal cost-performance tradeoffs based on business needs.
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Hands-on experience in embedded firmware implementation, architecture, design and development with multiple analog and digital I/O capabilities, FPGA, DSP and microcontrollers. Hands-on coding expertise in Python, C and C.
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Familiarity with basic data engineering concepts and comfortable working with large datasets using libraries such as Pandas, Spark on Databricks. Tech Stack: Golang Python Javascript (React) AWS What you’ll be working on Design, develop, and deploy full-stack data applications using Golang, Python, and JavaScript (React.
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Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework.
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You will have a dedicated/hands-on ASIC DV experience in reusable verification methodology such as UVM or OVM. As a Design Verification Engineer in our team, you are at the center of the verification effort within our silicon design group.
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A minimum of 7 years' demonstrated ability as a Data Engineer, with a solid focus on Google BigQuery, dbt or relevant experience. Google Cloud Professional Data Engineer certification.
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Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data Experience with at least one major MPP (elastic map reduce) or cloud database technology (Snowflake, Redshift, Big Query) Experience with AWS Cloud technologies (S3 at a minimum) Solid experience with data integration toolsets (i.
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data engineer hands on jobs Company: Aidash in Sunnyvale, CA
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