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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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BS degree in Computer Engineering, Information Systems, Statistics, Informatics or at least 5 years of experience Data Engineer or Architect roleAt least 5 years of experience Strong knowledge of SQLExperience with data pipeline and workflow management toolsExperience in Azure data engineering and cloud data processing servicesKnowledge of Programming e.g. SAS, Python, PySpark, R, Oracle PL/ SQLExperience in one or more of the following: C, C.
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Expertise in Azure cloud computing services and solutions, including Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure Functions, Azure SQL Database, ADF, and others. Expertise in Azure cloud computing services and solutions, including Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure Functions, Azure SQL Database, ADF, and others.
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2+ years of experience with statistical/analytical tools such as Python, R, SQL, etc. ·Program and build scripts ( using SQL or Python) to combine and interrogate structured and unstructured data sets.
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Experienced Creating ETL processes using an ETL tool such as Talend , SSIS, SQL DBT. Develop and maintain stage and integrate data into our Data Warehouse Model through the use of complex SQL code, SQL DBT, and Talend Enterprises.
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2+ years of experience with DevOps practices, containerization, and orchestration tools, including expertise in CI/CD pipelines, Docker, and Kubernetes •2+ years of experience in writing data processing pipelines using SQL, Spark, and Kafka •Proficient in Machine Learning Operations (MLOps) processes and associated technical concerns.
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4+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) 4+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby.
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Proficiency in SQL, data visualization tools (e.g., Tableau, Power BI), and BI platforms (e.g., Snowflake, Redshift, BigQuery). Proficiency in SQL, data visualization tools (e.g., Tableau, Power BI), and BI platforms (e.g., Snowflake, Redshift, BigQuery.
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Programming or scripting experience in SQL, Visual Basic, or Java. Experience working through a formal software development process. Database software skills (Oracle and/or MS SQL). The Transmission Services Department Engineer/Analyst responsibilities include but are not limited to - Calculate Available Transfer/Flowgate Capability (ATC/AFC) including associated Capacity Benefit Margin and Transmission Reliability Margin allocations (CBM/TRM) consistent with applicable NERC standards.
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Net, Java, scripting languages, Oracle, SQL server, Windows/Linux operating systems, TCP/IP routers, switches, networking and security technologies, firewalls)Experience in the financial services industry or completion of finance/investment related coursework a plusWe don’t post salary ranges externally so any salary estimate you see listed on a third party website was not provided by SIG and may not be accurate.
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Design and development of N- Tier applications using MVC, VB, VB.NET, ASP.NET, ADO.NET, and C#, HTML, CSS, JavaScript, Bootstrap, SQL Server, My SQL, Oracle, db2, Mongo DB. Good understanding of one of SQL Server, Postgres, Oracle, MySQL.
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Data Engineering Skills Proficiency in Python and SQL databases is a must Knowledge of various ETL techniques. Experience with Natural Language Processing NLP. Family building benefits like adoption assistance, surrogacy, and cryopreservation.
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Net Core, RESTful API, SQL Server, Entity Framework, Visual Studio. NET, GIT, Rest API, SQL. Experience with Azure DevOps (nice to have) Under general direction of the Manager Software Development, contributes to the software design and development activities for our Technology Group.
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Discuss patterns/trends, root causes, and recommended actions resulting from data analysis and use tools such as Power BI datasets and dataflows, Power Query, Snowflake, Microsoft Teams, SQL, SharePoint, Python, R, Excel, PowerPoint, HTML, and statistical tools.
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Use a variety of analytic tools (e.g., Excel, SPSS, SAS, R) Conduct classical and IRT item analyses, test scoring and equating, standard setting. PhD in I-O Psychology or related discipline. Use a variety of analytic tools (e.g., Excel, SPSS, SAS, R.
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