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Lead the engineering team in designing, developing, and deploying solutions applying modern web frameworks, machine learning solutions, data engineering technologies, microservices, and cloud-native architecture.
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Must have Master's degree or foreign equivalent in Computer Science, Computer Engineering, Electronic Engineering, or a related field and 2 years experience in the proffered position, or as a Developer, Software Engineer, Technology Analyst, Programmer Analyst, or related occupation.
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PI Data Engineering team (part of Personal Investing Technology BU) is focused on delivery data and ML solutions for the organization. You are familiar with applied data science methods, feature engineering and machine learning algorithms.
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Project Controls Manager - Civil Engineering. Creating and maintaining detailed project schedules using Primavera P6 or similar software. Proficiency in Primavera P6 or other project management software.
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The ideal candidate will also have demonstrated experience in movement ecology and/or ecosystem ecology, experience with geospatial software such as QGIS, ArcGIS, ENVI and/or Google Earth Engine and a strong track record of scientific publications and conference presentations in related disciples.
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Bachelor's degree or above in mechanical engineering, mold design, materials science, or other related engineering fields, with 5-10 years of experience in the design and development of consumer products.
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Must have good work experienceknowledge in ADLS ADF Snowflake Databricks Azure AIML Purview APIs Collibra Data processing in Azure cloud. Minimum of 15 years IT experience in Data BIA solution architecting of which at least 3 years in Azure Snowflake Databricks.
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Technical Leadership: Provide technical guidance and mentoring to the data engineering team, ensuring that DataBricks solutions are implemented efficiently and effectively. Experience: A minimum of 7 years of experience in data engineering, data architecture, or a related field, with significant experience using DataBricks.
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Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-timeThe Senior Software Engineer will play a pivotal role in advancing the technological landscape of GSK, specifically focusing on the design, delivery, and ongoing support of state-of-the-art data driven applications.
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The successful candidate will play a crucial role in ensuring the quality and reliability of our software products, with a focus on designing, developing and implementing automated solutions to ensure the quality and reliability of our software, testing Azure-based applications, Snowflake data warehouse, and ETL backend systems.
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Familiarity with data warehousing solutions like Snowflake and BigQuery is a plus. Are you an experienced Lead Software Engineer who is passionate about crafting powerful and scalable web applications that delight users and tackle real-world business challenges.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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At least 5 years of QA or Manufacturing experience in a GMP manufacturing environment with a Bachelor’s Degree in Biology, Chemistry, Chemical engineering, Biomechanical engineering, Bioengineering, Biomedical Engineering, Biochemistry or related field.
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Good experience in Data architecture data warehousing architecture ETL/ELT parallel and multiprocessing APIs Streaming and real time data integration. Expertise in deploying Snowflake features like Data Sharing.
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PhD. in chemistry, chemical engineering, materials science, mechanical engineering, or related discipline. Strong candidates will be proficient in various electrochemical and chemical characterization techniques such as cyclic voltammetry, electrochemical impedance spectroscopy, galvanostatic cycling, GITT measurements, XRD etc.
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data engineering software jobs Title: associate Company: Goldman Sachs in Cambridge, MA
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