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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem. You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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Lead discussions with ISSM stakeholders to gather requirements, identify automation opportunities, and define data taxonomy objectives. Design and implement automated solutions for data normalization and taxonomy management using tools such as Python, R, SQL, and automation platforms.
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Lead the evaluation and selection of appropriate data management tools and technologies. Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks.
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Co-Design data governance, data quality, and master data management processes and workflows supported by technology and innovation to operationalize data governance, data quality and overall risk mitigation.
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Engage with other Global DD&T (GDD&T) platform leads to ensure infrastructure is built to support all internal & external digital experiences; collaborate with Chief Data Officer (CDO), Chief Technology Officer (CTO), and Chief Information Security Officer (CISO) to ensure strict compliance with data, technology, and information security standards.
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Technical Leadership: Lead data integration across the enterprise thru design, build and implementation of large scale, high-volume, high-performance data pipelines for both on-prem and cloud data lake and data warehouses.
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Our client leverages cutting-edge technology to solve the government's most complex data puzzles, helping to transform business operations and decision-making processes. You will leverage your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks to ensure efficient data processing and analysis.
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The Ideal candidate should be proficient at solving business data problems utilizing industry leading data engineering tools on varying technology platforms. Liaising with Product Owners, Technology Partners, and Architects to ensure consistency and standardization across data platforms while designing scalable solutions.
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Experience reviewing in-vivo and in-vitro data including, but not limited to, inhalation, pathology, chemistry, PCR, and ELISA. The Data Coordinator is responsible for maintaining study files, reviewing data in real time, and ensuring that SOP, Protocol, and GLP requirements are met.
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ESSENTIAL DUTIES & RESPONSIBILITIESThe Regional Data Coordinator key areas of responsibility include:Key Areas of Responsibility:Serve as the primary data evaluator and needs identifier for their Service Planning Area (SPA.
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You will leverage background in remote sensing, image processing, statistical, geo-statistical and machine learning models to analyze complex imagery data to develop an scalable image processing pipeline.
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Our tech stack:AWS, Snowflake, Hadoop, DataBricks, Spark, R, Python, SQLIn this roleYou will design and implement scalable, reliable distributed data processing frameworks and analytical infrastructure using multiple technologies, including data sets or data warehouses, data virtualization and services, and repositories of semi-structured data sets.
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Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and one (1) year of experience as a Senior Data Engineer (or closely related occupation) designing, developing, testing, and implementing Snow Scripts and Snowflake Tasks to enterprise analytics data lake platform.
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Lead the data discovery for complex technical projects while navigating multiple data sourcesDemonstrate a high degree of creativity when developing solutions to improve existing supply chain processes, utilizing methods such as statistical analysis, and optimization.
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data job Title: technology lead Company: Optello
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