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Experience in batch and streaming ETL using Spark, Python, Scala, Snowflake or Databricks for Data Engineering or Machine Learning workloads. Experience with containerization and orchestration technologies (Docker, Kubernetes) and experience with shell scripting in Bash, Unix or windows shell is preferable.
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As the technical lead and architect, your primary responsibility will be to design and implement highly efficient, reusable, and scalable data processing systems and pipelines in Databricks and Snowflake.
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5+ years’ of hands-on experience with one or more general purpose programming languages Python/JAVA and Shell/Bash scripting. Hands-on experience in Data Science with R or Python and familiarity with deep learning frameworks.
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Develop and maintain cloud infrastructure using Infrastructure as Code (IaC) and automation scripts (e.g. Terraform, CloudFormation, python, bash, PowerShell, AWS CLI/SDK, Azure Cloud Shell.
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Oracle Exadata / Snowflake / Azure / Airflow / Python / Kafka / Shell scripting / PowerBI. You have advanced proficiency in Python for data processing and automation. Oracle Exadata / Snowflake / Azure / Airflow / Python / Kafka / Shell scripting / PowerBI.
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8+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake or Databricks for Data Engineering or Machine Learning workloads. 3+ years of experience with containerization and orchestration technologies (Docker, Kubernetes) and experience with shell scripting in Bash, Unix or windows shell is preferable.
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Automation skills, one or more of the following: Python, bash shell, Perl, Ansible/AWX, Chef, Terraform. Automation skills, one or more of the following: Python, bash shell, Perl, Ansible/AWX, Chef, Terraform.
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In Pyspark and Python Expert in writing shell scripts to execute various job scheduler Hands-on experience in Palantir & PySpark to build data pipes. in Palantir Data Foundry, Ontology and Python.
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Experience with scripting tools such as Power Shell, Python, Scala, Java and XML. 5 years of data engineering experience leveraging technologies such as Snowflake, Azure Data Factory, ADLS Gen 2, Logic Apps, Azure Functions, Databricks, Apache Spark, Scala, Synapse, SQL Server.
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DevOps, Azure Cloud Experience, Scripting (Shell, Python), Containerized platforms (Kubernetes) , extensive CICD knowledge (Jenkins, Docker, Maven), GITHUB as SCM, MongoDB, Oracle, Javascript.
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Scriptwriting or application build experience in Python, Ruby, Bash, Java, Javascript, or UNIX shell. Champion security by injecting it into the existing development workflow and every stage of software development, ensuring the entire infrastructure is secure.
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You should have experience with traditional and modern technologies such as: Databricks, Python, REST API, relational databases, Snowflake, Git, Shell scripting, and AWS. Develop and enhance applications using a modern technology stack such as Python, Shell Scripting, Snowflake, Lambda, and Databricks.
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Ability to develop tools and automate tasks using scripting languages such as python, PowerShell, bash, pearl, ruby, etc. Working knowledge of Infrastructure as Code (IaC) such as Terraform and CloudFormation.
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Python, Shell Scripting and Linux-based operating systems with applications in machine learning and image processing. 5+ Years of experience in developing in Python for Machine Learning and Computer Vision applications.
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1+ years of automation scripting using Python, Bash, Shell and/or Perl experience. - 4+ years of automation scripting using Python, Bash, Shell and/or Perl experience. CEH (Certified Ethical Hacker) or CFR (CyberSec First Responder) or Cloud+ or GICSP (Global Industrial Cyber Security Professional) or SSCP (Systems Security Certified Practitioner.
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