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We are looking for a Senior Data engineer. 3+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads.
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We are seeking a talented Senior Data Engineer to join the data platform group for our Compliance Monitoring product, focused on enabling efficient data to support our risk analytics engine that works to identify fraud, bribery, and corruption.
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Our client is a leading proprietary trading firm headquartered in Chicago seeking a Quantitative Software Engineer to join their Front Office Data Engineering team. As a Quant Data Engineer, you'll collaborate closely with various departments within the organization and your primary responsibility will involve constructing and maintaining data ingestion processes of varying complexity that drive investment decisions and support critical operations.
$350,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Alteryx, Banking, Business, Critical Thinking, Data Acquisition, Data Analysis, Data Management, Data Operations, Data Quality, Decision Making, Financial Products, Leadership, Management Reporting, Microsoft Power BI, People Management.
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Google Data Analytics Professional Certificate, Power BI Data Analyst Associate, AWS Certified Data Analytics, Enterprise Data Warehouse certifications, Palantir, Client Side performance metrics tools e.g. Quantum Metrics.
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The Principal Data Engineer role will work closely with cross-functional product teams and be responsible for designing, developing, and deploying state-of-the-art data engineering techniques and streamlined data ingestion processes to extract valuable insights and intelligence from large and complex medical datasets (structured and unstructured data.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Propose new database architecture and support data migration from an existing Legacy system to a new structureCreate source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
$115,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for a Senior Data Engineer to help us continue to build the next evolution of our data platform in a scalable, performant, and customer-centric architecture. Primary responsibilities for a Senior Data Engineer.
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Regulatory Compliance: Familiarity with relevant regulations and guidelines governing credit data, such as CCAR, CECL, and Basel III. Develop and Implement Data Strategies: Create and execute data strategies to support credit risk management, ensuring alignment with the bank's overall risk management framework.
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Keep pulse of the latest development trends in cloud (AWS, GCP, Azure, etc), data platforms (Databricks, Snowflake etc), databases (RDBMS, SQL, NoSQL, Oracle, etc.) Understanding of streaming (e.g. Kafka, Kinesis), batch & workflow (e.g. Airflow, AWS Glue, CTTRL-M) data transport technologies.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine Learning/Data Analyst and Java Full Stack candidates. Currently, we are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts, data scientists, and machine learning engineers for full-time positions with clients.
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As the Delivery Manager, you will be responsible for overseeing the successful delivery of complex technology projects with a focus on AWS, DevOps, Data Engineering, and Generative AI solutions.
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A Tier I technician will gain an on-the-job understanding of the mechanical, electrical, fire life safety, and security systems used in a data center environment including, but not limited to the following: electrical distribution and layout, transformers, PLC’s, generators, switchgear, UPS systems, STS’, ATS’ PDU’s, chilled water systems, CRAC/CRAH’s, pre-action sprinkler systems, security hardware, CCTV, monitoring, and CMMS systems.
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Act as a technical product owner for the cloud data platforms, including Azure Databricks, and collaborate with other product owners and managers to deliver value to the customers. Experience in analytical and data visualization tools such as Power BI, Tableau, or Qlik.
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Staff Data Engineer - GE07CE. 5+ years in large scale big data engineering experience and designing best practices in Programming, SDLC practices, Distributed systems, Data warehousing solutions SQL and NoSQL, ETL tools, CICD, Cloud Technologies (AWS/AZURE),Python/Spark, Datamesh and Datalake, Data Fabric Must have experience working with Apache Spark 3+ years of developing and operating production workloads in cloud infrastructure (AWS, Azure, etc) 3+ years of operating in a technical leadership capacity for 2+ teams.
$184,920 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago
data job Title: devops engineer Company: Optello in Chicago, IL
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