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Design and build data solutions using Databricks, SQL, Python, Spark, and Delta Lake in the Azure ecosystem (Blob Storage, Data Factory, Event Hubs). Lead and contribute to the creation of a self-service data platform for reporting and analytics.
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Experience: 3+ years of proficiency in programming languages commonly used in data engineering, such as Python, SQL, Shell scripting. Demonstrable experience as a Data Engineer, preferably in a marketing or analytics-focused role.
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Experience in data management and analysis tools and languages, such as Python, R, SQL, and data visualization platforms (e.g., Tableau) Build, enhance, and maintain data analytics infrastructure through the release management process to support business needs across all TAs.
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What You'll Need Bachelor's degree in computer science, data science, and/or related quantitative degree is preferred from an accredited institution. Technologies/Tools we use: Python, SQL, Azure (Virtual Machines, Azure Web Apps, Cloud Storage, Azure ML), Anaconda packages, Git, GitHub, GitHub Actions, Terraform, Artifactory, Airflow, Docker, Kubernetes, Linux/Windows VMs.
$99,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knoledge in Databricks, PowerBI, programing languages including SQL, Python and PySpark, data principles including data pipeline, streaming data, data storage, ETL, data integration, database design Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change.
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8 years of relevant work experience in analytics, data engineering, business intelligence, or related field. Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision-making across the organization.
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Develop code using SQL, SQL procedures, UNIX, python, ETL tools like Informatica Power center, AWS services like S3, data pipeline, AWS Glue, Python, AWS Lambda and Athena, Azure services like Data Lake, Data factory and Databricks to Load data into Data warehouse/DataMart/Data Lake.
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Qualifications:Bachelor’s degree in Data Analytics, Statistics, Information Systems, Business Administration, or a related field. Proficiency in data visualization tools (, Tableau, Salesforce CRMA), SQL and SAQL, and statistical analysis software (, R, Python.
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Experience with CPI/DS and Oracle Fusion Cloud ERP a plusEducationBachelor’s degree in engineering and/or MBA in Supply Chain / Operations Research Job Segment: Supply Chain, Supply Planner, SAP, Business Analyst, ERP, Operations, Technology, Finance.
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Expertise in Python and SQL, with working experience in Apache Spark, Databricks, or other big data systems. Distinct experience in advanced probability, statistics, machine learning, big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP. This role involves developing data science solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field, ideally with specialization in Data Engineering or Machine Learning. The position will be within the Ribbon Technology and Solutions development team, working on the latest technologies in the Big Data and Analytics field using contemporary data visualization and UI frameworks as a front end to the latest Big Data platform engines such as Kubernetes/Docker, Hadoop, and Angular within a virtualized, micro-services application architecture.
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Requirements: Education: Must have a Bachelors Degree in Civil Engineering or a related field with coursework in geotechnical and structural engineering. Review, interpret, and evaluate monitoring data from geotechnical instruments including piezometers and inclinometers adjacent to deep excavations, seismographs, and ground monitoring points on floor wall, utility lines, SOE, and structures.
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Business Data Analyst will use business intelligence data for predictive analytics and facilitating implementation of new tools like Tableau, Qlik Sense, PMRT, Tableau and Power BI.
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Experience working with data analytics tools such as Python, R, MATLAB, Tableau or Power BI. Specific areas of responsibility include system of systems digital artifact capture, Model Based Systems Engineering (MBSE) development, architecture modeling, simulation and co-simulation, data analytics, data visualization, analysis of complex systems, and decision support.
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Masters degree in a life science discipline with a minimum of 2 years of relevant industry experience or a Bachelors degree in a life science discipline with a minimum of 4 years of relevant industry experience.
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bachelors degree python data jobs Title: data analyst analytics specialist in Bedford, MA
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