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Job Description MIT Lincoln Laboratory seeks a highly motivated, detail-oriented, curious and driven physicist, applied physicist, or researcher in a related field with hands-on lab experience.
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You have hands-on experience with Infrastructure as Code (IaC) and configuration management tools for efficient infrastructure provisioning and management like Terraform, Ansible, or CDK.
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Hands-on experience with both white box and black box testing techniques. Experience with JavaScript, Node.js, Python, Selenium, Postman, Jenkins, Docker, Newman is highly desired.
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High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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3+ years of hands-on experience in Python/Pyspark/SparkSQL. This role will primarily be responsible for building out our analytics platform on Databricks, using dbt and Python for data transformations.
$90,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Hands-on experience in GCP, Databricks or Apache Spark mandatory. Experience in both architecting and the hands-on implementation of infrastructure. Experience with Sagemaker AWS, Kafka, Python, R, SQL and NoSQL Databases, Spark, Scikit-Learn, Keras/TensorFlow, PyTorch, Docker, CI/CD Pipelines, Git, or developing APIs.
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Minimum 5+ years of hands-on experience supporting Kubernetes /Openshift / AKS /EKS Container platform. Experience with Python, Ansible, Golang, and shell scripting. The team also focuses on digital banking, payments, infrastructure, data management and technology that enhances cyber security, and risk and capital management.
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Demonstrated, hands-on experience with data visualization tools, e.g. Looker and Tableau. Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
$152,000 - $206,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Minimum of 5 years of hands-on skills in Python, Apache Spark, Hive, Cassandra, Snowflake, Elastic, Lucene, DataBricks, Hadoop, Redshift, Scala, Java, or other relevant technologies in data engineering.
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Hands-on experience & understanding designing, building, and maintaining complex ETL pipelines using Snowflake, Databricks, Kafka, and AWS Glue. You'll be a hands-on leader, actively contributing to the codebase and ensuring the smooth flow of data from various sources to our Snowflake data warehouse.
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Hands-on experience in EM and circuit simulation tools: Ansys HFSS/Maxwell/SIWave, CST, ADS/Spice/Spectre, Cadence/Sigrity, scripting languages (Python, Perl) Hands-on experience in hardware board-level testing, validation, and with lab equipment (near field scanning, spectrum analyzers, VNAs, scopes.
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Hands-on experience with fabrication/prototyping such as machining, 3D printing, welding, woodworking. Strong track record of technical problem solving and hands on hardware build experience.
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As a Data Engineering Principal for a leading digital agency, you will be a hands on, senior data technologist. Hands-on experience of modern software delivery, including CI/CD and DevOps practices with a deep understanding and extensive track record of delivering complex data solutions using Agile methods including Scrum, SAFe etc.
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Hands-on experience with developing and deploying Azure-based solutions by using Azure Data Lake Storage, Azure Databricks, Azure Synapse Analytics, or other Azure services. The ideal candidate for this Senior Data Engineer role will have expertise in Databricks, preferably in building robust ETL solutions, and in Python (PySpark) and Delta tables.
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Hands on experience with programming languages including SQL, Python on cloud data platforms like Snowflake , Redshift etc. Nice to Have : Experience with enterprise ELT platforms like Talend , Fivetran and flexibility to build an in-house transformation code base using SQL, Python, Airflow etc.
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