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Developing/testing Experience on Cloud/On Prem ETL Technologies (Ab Initio, AWS Glue, Informatica, Alteryx). Work Description SDET Python, AWS, Unix and ETL Work with business stakeholders, Business Systems Analysts and Developers to ensure delivery of Data Applications.
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Familiar with ETL processes and data warehouse design, including experience with one or more of the following: Microsoft SQL Server, Snowflake, Kimball Methodology, Azure Data Factory, Alteryx, Python.
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Provide subject matter expertise (SME) support to team and client on data-related tools such as Tableau, Databricks, Qlik, Advana, Jupiter, Alteryx, etc. 5+ years of experience using data analytics tools and languages such as Tableau, Qlik, R, Python, etc.
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Moderate experience with Python, R, Alteryx, Matillion or other ETL/Analytics platforms a plus (or similar applications) Assist with maintenance and management of Quality SQL database, Snowflake cloud data warehouse and ETL tools.
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To turn data into insights; Using ETL (Extract, Transform and Load), and having experience with Alteryx, Power Query and / or other agile technologies preferred; and, Possessing knowledge of and having exposure to basic programming: Python, SQL, or other languages.
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Working knowledge of ETL tools like Power Query, Azure Data Factory, FiveTran, Stitch, Alteryx, and languages like SQL, Python, or R. Strong knowledge and delivery experience with Tableau, Power BI, Qlik, or any other data visualization tools.
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Knowledge of Extract, Transform, Load (ETL) Tools, Python, Robotic Process Automation (RPA) and cloud architecture. Hands-on experience using UiPath, Alteryx, or Tableau. The Investment Operations department includes Investment Performance and Reporting, Fund Administration, and Middle Office.
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Create predictive analytics, ETL processes, and statistical models to gain insights into future marketing performance using Alteryx and Python. 3 years of experience developing and maintaining expertise using Alteryx.
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The Analyst’s primary responsibility will be to develop and maintain data flows/pipelines, improve ETL processes/data quality and develop data manipulation workflows in Alteryx automating manual solutions.
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3+ years leveraging and maintaining ETL tooling – such as Glue, Alteryx or any other related ETL (extract, transform, load) tools – and/or. Front End skills and familiarity with the following toolkit - AWS Amplify, Cloudfront, React, Vue, Node, proficiency in HTML, CSS, JavaScript, Python, HTTP, REST APIs, Git, Docker, Cloudformation, YAML, CodeCommit, authentication/authorization practices, and jQuery.
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Knowledge of data manipulation tools / languages like Alteryx, SAS, Python. Concepts of Data Engineering - Data warehousing, Indexing, ETL, Dimensions and Schemas. Experience working with one or more of Hadoop, Teradata, Oracle, Microsoft SQL DBs and beginner/intermediate knowledge of AWS cloud solutions (S3, RDS, Athena, Aurora.
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Experience with SQL, MS Access, or similar (bonus points for experience with programming languages such as Python or R or an ETL too such as Alteryx) Our traders work hard to provide liquidity to the market through their market-making activities and are the masters of a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options.
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Experience with ETL and/or ELT operations using systems such as Alteryx is highly desirable, or the ability to learn quickly. to solve business and production process problems using tools such as JMP, Minitab, R, Python, etc.
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You and your team will collaborate with internal and external customers and our affiliate companies, empowering them to solve business problems and gain powerful insights using high-performance datasets, enterprise analytics systems, and self-service tools such as Snowflake, Alteryx, R, Python, and Power BI.
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DE performing Extract Transform Load (ETL) on Cloud native data warehousing solutions using analytical tools (Alteryx) and programming languages (Python); building and maintaining data pipelines utilizing Python, CronTab, Linux server, and Jupyter Notebook; and creating scalable visual analytics dashboards using Tableau and Looker.
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