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Hands-on experience with data visualization tools (e.g. Power BI) to create meaningful reports and dashboards as needed. Proven experience (5+ years) as a Business Analyst, Data Engineer, or similar role within the financial industry, with a strong focus on compliance and regulatory matters.
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2+ years hands on experience on GCP Cloud data implementation projects (Dataflow, DataProc, Cloud Composer, Big Query, Cloud Storage, GKE, Airflow, etc. 6+ years of experience in Data Engineering with an emphasis on Data Warehousing and Data Analytics.
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Experience developing deep learning models Hands-on experience in training, fine-tuning, and optimizing machine learning models in the context of LLMs and Generative AI Experience deploying transformer-based architectures such as GPT, LLaMa, and BERT Great understanding of classical deep learning models/algorithms: CNN, RNN, LSTM Preferred Experience.
$190,000 - $230,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands on experience across Python, SQL, Spark, Git, Azure Databricks, PyTorch and ability to work with large amounts of geospatial data. We are looking for an individual who is a capable hands-on manager and wants to take ownership over one of the biggest strategies to date.
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Hands-on experience on writing and understanding complex SQL(Hive/PySpark-dataframes), optimizing joins while processing huge amount of data. Hands-on experience with programming using Core Java or Python/Scala.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Preferred Qualifications Hands-on experience in the application of Lean/Six Sigma methods and way of thinking. This role will also focus on our digital platforms, mainly Oracle, Smartsheet and Power BI which are used to aid in the execution of our business.
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We are seeking a skilled Big Data Developer with hands-on experience in Apache Spark and SQL. You will design and develop scalable data applications, optimize data pipelines, and work closely with teams to deliver data-driven solutions.
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Hands-on expertise with GCP product offerings. Proven experience as a Data Engineer with a focus on big data. Job Description: Data Engineer. Design, build, and maintain scalable and efficient data pipelines.
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5+ years of experience in Data Engineering with an emphasis on Data Warehousing and Data Analytics. A solid experience and understanding of considerations for large-scale solutioning and operationalization of data warehouses, data lakes and analytics platforms on GCP is a must.
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Performs hands-on solution architecture design work and actively participates in design and code reviews to ensure both delivery of desired business outcomes and alignment to enterprise standards.
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At least 1 years of hands-on data science with machine learning. 4 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
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2+ years of work experience in a highly technical and hands-on data engineering, or data science role. Designing and implementing performant data ingestion pipelines from multiple sources using Databricks on Azure.
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Knowledge of cloud platforms ( AWS , Azure , GCP) for data analysis and management is a must. Proficiency in writing complex SQL queries to extract, transform, and load data ,(ETL) as well as perform detailed analysis for trends, discrepancies, and potential compliance issues.
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Hands on Experience working with AWS services including Glue, S3, EKS, Data Pipeline, Step functions and establishing connectivity to AWS services like RDS from Informatica, data stage, Apache Spark.
$168,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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This is not a hands-on administrator's role but an Architect and drive structure and best practices in a growing team. Best Practice Database Design Understanding of Relational and non-Relational data storesCloud based database administration (AWS RDS, Azure, GCP)Master of SQL (indexing, tuning, joins, debugging, DDL, DML)Experience writing stored procedures and triggersVarious replication techniques (CDC, log apply, etc.
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hands on jobs Title: data in Phoenix, AZ
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