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Hands-on experience with Azure Arm Template(ARM) , PowerShell and Shell /Bash scripting, Terraform, Python, Helm charts. Hands-on experience and Knowledge with Docker and Azure Kubernetes deployments.
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Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, Autoscaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
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Should have strong hands-on cloud experience with AWS suite. Strong hands-on experience on Spark is must. 6-8 years of strong experience in Spark, Python, Shell Scripting, PostgreSQL, Hadoop, AWS (S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and CloudWatch), Databricks (Delta lake, Notebooks, Pipelines, cluster management, Azure/AWS integration.
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Spark, PySpark, Unix shell/Perl scripting. Experience developing and deploying ETL solutions on AWS. Minimum of 5 years of Consulting or client service delivery experience on Amazon AWS (AWS.
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We have 100+ years of cumulative hands-on experience in architecture, logic design, verification, physical design, emulation and firmware. Unix/Linux development environments and scripting languages like Tcl, Python, C-shell.
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Hands-on development and testing of custom lasers and other optical systems for remote sensing, free-space optical communications, RF photonics, and other applications. Hands-on experience working in an optical lab and using common optical test equipment such as power meters, optical spectrum analyzers and oscilloscopes.
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Hands on recent and relevant Data and Analytics architecture design, implementations (AWS, Azure), Snowflake, Event Streaming Platforms(kafka. + Networking technologies/Infrastructure/Cloud hands on experience in design.
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Hands-on experience with Databricks, Delta Lake, AWS services, Python, or PySpark development. We are seeking a highly skilled AWS Data Engineer with expertise in building Data pipelines and processing solutions on the AWS platform, focusing on Databricks, Delta Lake, and Python development.
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This person proactively advises on HR best practices and takes a hands-on role regarding culture, talent, sustainability and day to day People operations and case work. Lead with a “true hands-on” approach as well as the ability to successfully monitor the “pulse” of the employees to ensure a high level of employee engagement.
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Hands-on experience in a cyber security internship or similar role; Our employees collaborate seamlessly among 40+ offices and gain valuable hands-on experience that fosters career growth.
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At least 5 years of hands-on experience in architecture design and implementation of business intelligence and predictive analytics on cloud-based Data Warehouses. At least 10 years of hands-on experience with full life cycle data warehouse technical design (star schemas, cubes, datamarts) and development including ETL, logical and physical data modeling, data mapping from various data sources, loading data warehouse objects including dimensions, hierarchies, fact tables and aggregates, metadata definitions, and report development.
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Implement Hadoop job orchestration using Shell scripting, Apache Oozie, CA7 Enterprise Scheduler and Airflow. Strong development experience in Spark, Py-Spark, Shell scripting, Teradata, Hive and Hadoop.
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Hands-on experience in coding SQL (BigQuery, Hue, SQL Assistant, etc.) We strive to have a remarkable impact on people's lives across several key therapeutic areas immunology, oncology, neuroscience, and eye care and products and services in our Allergan Aesthetics portfolio.
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Proven expertise in designing, implementing, and managing Zscaler solutions, including hands-on experience with Zscaler's cloud security platform /or/ Palo Alto Prisma Access cloud security platform.
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Broad, practical knowledge of semiconductor wafer fabrication and hands-on experience in the operation, maintenance and repair of fabrication process tools (Wire-saws. 1-4 years of hands-on laboratory and/or production experience in process intensive environments.
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