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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation.
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Involve in and learn the data analysis and visualization techniques for bioassay data formatting and pipelining. Majoring in: Biology, Biochemistry, Biological/Biomedical Engineering, Pharmaceutical Sciences, or a related field.
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Geologist, Engineering Geologist or Geological Engineer Haley & Aldrich is a 900+ personnel national engineering and environmental consulting firm with creative, technically strong staff who want to work in a collaborative environment to deliver exceptional value to our clients.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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We’re helping patients get the best care possible by working on digital health experience, analyzing big data to streamline the delivery of care, and reaching out to medically complex patients to better understand their needs.
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Support project teams for development of research methods, preliminary isolation/identification of process impurities, reaction kinetics, reaction mechanism and data management (in collaboration with Analytical Development.
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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The ideal candidate should have strong potential for collaborative endeavors with faculty at BU in departments and areas such as Occupational/Physical Therapy, Health Sciences, Biomedical Engineering, Computing & Data Sciences, Neuroscience, and Psychological Sciences, among others.
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Strong software engineering skills in Python, Golang, or Java. Develop systems and tools to enhance the security properties of corporate infrastructure, including Identity and Access Management, Endpoint Security, Data Loss Prevention, and Zero Trust architecture.
$235,200 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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We seek an energetic and motivated Principal Scientist or Associate Director to lead the design and execution of strategies to engineer hematopoietic stem cells by a combination of genetic and protein engineering approaches.
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Principal engineers in software development and data engineering to set technical direction, design high-level architecture, and transform Baseball Systems software and tooling to maintain cutting-edge technology and enhance Baseball Operations decision-making The ideal candidate possesses strong technical experience and understands baseball from a technology and development perspective.
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Applicants should have a BS degree or higher in disciplines such as acoustics, civil/structural engineering, mechanical engineering, or physics, with a MS degree preferred. The position will involve computer modeling for vibration and acoustics analyses, which could include finite element analysis (FEA) of structural systems, building acoustics modeling and ray tracing, and/or environmental noise modeling.
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Minimum of 8+ years of experience in data engineering, with a focus on Snowflake and DBT. This role involves collaborating with cross-functional teams to translate business requirements into technical solutions, maintaining data integrity and compliance, and driving innovation in data engineering practices.
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The Senior TPM will work cross-functionally with engineering and product teams on a new implementation of Salesforce Service Cloud, ensuring timely delivery of high-quality solutions catering to our customers.
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Technical Skills: Proficiency in SQL, database platforms (e.g., MySQL, Oracle, SQL Server), data warehousing, ETL processes, data modeling tools, and familiarity with cloud services (AWS, Azure, Google Cloud), big data technologies (Hadoop, Spark), and data pipeline tools (Apache Kafka, NiFi.
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big data engineering jobs Company: Meta in Boston, Sulphur, Louisiana
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