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Minimum of 5 years using at least one ETL tool such as Microsoft SQL Server Integration Services (SSIS), Microsoft Azure Data Factory, IBM InfoSphere DataStage, or any ETL applications. Must be able to work with multiple RDBMS environments such e.g. Oracle, SQL Server, MySQL, and so on.
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Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python). With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin.
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Hands on experience with ETL/ELT tools like ADF, Informatica , Talend etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon redshift , Snowflake , Google Big Query etc. Job Title- Lead Azure Data Engineer/ Architect [Strong hands on with SQL, Pyspark, Databricks & Azure cloud.
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Most clients are cloud-first / wireless-first using SSO with Okta, OneLogin, or Azure AD. Most clients also run MDM with Intune, WorkspaceOne, or JAMF. Some clients have on-premises server/storage infrastructures such as AD/Exchange and SQL on VMWare or Hyper-V.
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Fluency in (or desire to learn) data analysis skills and tools, such as SQL / R / Python. Parafin currently powers the capital programs for platforms and payment processors ranging from Series B to post-IPO companies such as DoorDash, Amazon, Worldpay, Mindbody, Fullsteam, Guesty, Xplor, and Quilt.
$90,000 - $105,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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4+ years of professional experience in server side JavaScript development (ideally TypeScript, Node, Next, Nest etc.) Experience with one or more open-source language such as Golang, Python, Ruby on Rails, Rust or similar.
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Compile and cleanse data in preparation for actuarial analyses using scripting languages such as R, SQL and Python etc. Code fluency in R or Python and SQL, and proficiency in analytical tools (e.g. Google Sheets, Microsoft Excel.
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Experience interpreting and analyzing telematics data, using Python, SQL, Tableau or other tools to perform calculations and visualize data; A Master's Degree in Chemical, Sanitary, Transportation (Traffic), or Environmental Engineering disciplines only or a Grade Four Certificate in Water/Wastewater Treatment Operation (CA) may substitute for one year work experience in the chemical, environmental or transportation specialties.
$142,220 - $172,874 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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SQL and experience with big data technology such as Hive, Presto, Glue, (Py)Spark, or Athena. Recently, our focus has been on the Autodesk Assistant, an LLM-driven, Universal Chatbot intended to provide generative answers to a wide range of our customers' inquiries.
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You already know or can rapidly learn enterprise application capabilities to deliver transaction and event-driven data solutions (examples: MS Dynamics Data, SAP/HANA, ADLS/Hadoop/SQL Server /Databricks data lake/lakehouse solutions, and Kafka streams.
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Strong technology proficiency in one or more of the following areas is highly desired : Aladdin technology suite, data model & data feed interaction, API’s, industry technology (e.g. CNS, Swift, OMGEO), data and reporting toolsets (e.g. ADS/SQL, Microsoft Excel VBA/Macros, Power BI), Python, etc.
$76,000 - $95,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Core Tools: Python, R, SQL, Next.js, React, TypeScript, Tailwind CSS. Leverage your advanced skills in Python and SQL and with platforms like Databricks and AWS to build highly scalable data pipelines and warehouses.
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Advanced proficiency in financial modeling, Microsoft Excel, and PowerPoint; Experience in SQL and Looker is a plus. Be mentored by some of the most seasoned FinTech executives from Square, Lending Club, and American Express, or build your own path.
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Design data software to handle data manipulation, scheduling, event-based triggering, and automation tasks using SQL, Python, R, and Scala, as well as working with relational databases like Snowflake, Redshift, and Postgres.
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Able to work with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, Redshift, Azure SQL Data Warehouse, MongoDB, Cosmos, or similar. Advanced knowledge of key programming languages: SQL (required), Python (required), PySpark, Scala, and/or Java.
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