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5+ years of SQL experience, Databricks, SQL Server, Spark SQL. 3+ years of Python experience, Databricks, PySpark. You'll be part of a high-impact, high-visibility, high-growth team and will lead the optimization of operational and financial reporting for the Debt Capital Markets and Asset Liability Management teams (DCM/ALM.
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You have experience with SQL and data visualization tools (Tableau, Qlik, Power BI, Looker, Domo, etc.) This includes 1) performing analytical deep-dives to identify problems, opportunities and actions required; 2) leveraging large amounts of disparate data sources by using SQL/Tableau and/or other scripting and statistical tools, and 3) designing and managing test/pilot programs.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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You will design, develop and automate secure, robust, and high-performing data platform solutions to drive CAIS business growth using Python, Kotlin, Snowflake, DBT and Kubernetes. Extensive experience with DBT and Snowflake for data warehousing, demonstrated through the creation and management of complex SQL/ETL/ELT data workflows.
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Strong knowledge of programming languages such as Python, SQL, or Scala. Azure Data Engineering or Databricks Certification, and expertise with other cloud data platforms (AWS, Snowflake) preferred.
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Our unwavering commitment to this purpose drives us to employ the most cutting-edge, evidence-based treatments in the field of psychiatry such as Deep TMS, IV Ketamine, and meticulous medication management.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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You're proficient in using automation/IaC tools such as Terraform, CloudFormation, Ansible, and scripting in Bash and Python to create and configure cloud infrastructure and can speak to how you've used these tools in your 7+ years hands-on experience.
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Proficiency in SQL and multiple programming languages for building data pipelines including Python, Scala, Spark, and Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Azure Synapse, SQL, CI/CD, Git, Snowflake, Databricks, and general programming. SQL, T-SQL and Power BI or equivalent modern data visualization package. Commonly used data and analytics technologies (Azure Synapse Analytics, SQL Server, etc.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Data Science Analyst (Senior) | 6-8 Years | Data Science - Python, Data Modeling. - 5+ years of experience with Azure technologies: Azure AD, Azure Storage Accounts, Azure Virtual Machines, Azure SQL, Recovery Service Vault, Azure Load Balancer, Azure Monitor, Azure Public/Private DNS, vNet (Peering) and Azure VPN, WebApps, ARM, CLI.
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Collaborate with developers who utilize cutting-edge technologies like React Native, Vue.js, Sitecore, C#, and. Collaborate with developers who utilize cutting-edge technologies like React Native, Vue.js, Sitecore, C#, and.
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5+ years in Data Scientist, Data Analyst, Business Analyst, or similar role using SQL (e.g., Snowflake) and/or Python/R.Strong Excel skills and experience building dashboards. Do the best work of your life at Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home.
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Reviewing historical transactions flowing through Enterprise Risk Engine (Actimize), check fraud model (OASIS), Bank Bill Pay, Visa, and New Account models using SQL to pull data from the databases to perform analysis to arrive at insights.
$101,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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