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Authority in Node.js, Angular, Spring, and Java, applying expertise to drive the development and implementation of data solutions. Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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Stay current with emerging trends and technologies in the data engineering field, incorporating them into the organization's data strategy. 8+ years of experience in data engineering or full-stack quantitative analytics/data science roles.
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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. Work with an agile team to deliver and evolve data engineering & services.
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Data Engineering & Analytics Lead Are you a skilled, experienced Data Engineering & Analytics professional seeking a leadership position in the healthcare industry? If you are passionate about leveraging data to drive meaningful insights and have a proven track record in data engineering, analytics, and leadership we invite you to join us on this exciting journey.
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Contribute to the development of a healthy product backlog, collaborating with the Product Manager, Engineering, and Solution Architects to break down business epics, document user stories (to also include things like addressing technical debt, SRE, etc.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization : Develop and maintain ETL pipelines using orchestration tools; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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5+ years in data engineering or software development roles, with intensive experience in designing, optimizing, and building data pipelines, data warehouses, data lakes using modern data engineering technologies such as Airflow, Airbyte, DBT, Apache Hudi, Spark, etc.
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Minimum of 5 years' experience in data engineering, data architecture, or related roles, preferably in healthcare. · Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery.
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Independently utilizes engineering, construction, DEP, and other standards and practices related to hydrology, hydraulics, structural engineering, and geotechnical engineering to analyze plans submitted to the Plan Review unit.
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Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem. Your role as a Data Engineer: In this role you will be responsible for designing, developing, and maintaining data pipelines in support of data management functions such as data engineering, data integration and data quality and governance activities.
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As a Director of Data Engineering, you will be instrumental in driving innovation, ensuring data quality, and fostering collaboration across teams to harness the power of data for informed decision-making.
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Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Causal Inference.
$175,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvote
Data Risk & Privacy - Data Governance - Data Modeling / Ontologist & Knowledge Engineering - Manager
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EDM Council DCAM Certified Assessor, Data Governance & Stewardship Professional (DGSP), and DAMA Certified Data Management Professional (CDMP) We focus on assisting organisations manage vast amounts of electronic data and navigate the legal and business processes demanded by critical events, which includes litigation, regulatory requests and internal investigations.
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Strengthen corporate best practices around data engineering software development processes. This role will report to a Director of Data Engineering. How you’ll make an impact: In this role you will be a member of a team responsible for designing and developing a data ecosystem to promote an environment of data democratization and utilization across SiriusXM and Pandora.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Experience working with financial data sets like Factset and Bloomberg a plus.
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data engineering jobs Company: Dice in Long Island City, NY
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