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Vendor certification (Azure Data Engineering, PowerBI certifications, Snowflake Certifications.) Utilize experience on various BI and data tools like PowerBI, Azure Data Engineering methodologies (ASQL, ADF, ADL, Logicapp, etc.
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Experience with the SDLC lifecycle & knowledge of relevant tools(Including but not limited to Azure DevOps, Jenkins, git, GitHub, Gitlab, Atlassian products). + Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture.
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Knowledge with Azure services: Azure Blob Storage, Azure SQL Server, Azure Data Factory. Knowledge on technical competence with the latest technologies (Azure, Power BI, SQL Server, SSIS, SSRS, SSAS, Azure/AWS Cloud, Devops (ADO), Snowflake, Mobility & Security.
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You will be part of a team that is supporting cloud Data Warehouse and Data Lake environments implemented on AWS or Azure for some of Epsilon's most prominent Database Marketing clients.
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Experience with the Azure stack (Azure Data Factory, ADLS, Azure Databricks, Azure ML, and Azure SQL) to help build a modern platform for data that will be sourced from a variety of analytic and operational applications.
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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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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
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Security+ CE, CEH, AWS Cloud Practitioner or AWS Certified Solutions Architect certifications. Experience with AWS, Google Cloud Platform (GCP), or Azure. Utilize dashboards, spreadsheets, SQL or Python to perform data analysis, assisting with the rapid prioritization of findings, and helping teams to reduce their risk in an efficient manner.
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Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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Amazon Web Services, SnowFlake, and Microsoft Azure; building data visualizations to answer strategic questions, extract actionable insights, build datasets for ad hoc, and recurring analysis, using Tableau; preparing data to empower end users and evaluating data availability and usability for current marketing metadata, customer, and transaction data, using data sources.
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Job Schedulers – Airflow, Oozie or other ETL Scheduler Data Analytics – AWS Cloud Native Services Big data architecture – Python, Scala, Hadoop Bigdata, Hive, Pyspark etc. Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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Master in Landscape Architecture (MLA) and Registration as a Licensed Landscape Architect (or in process) preferred. Works on interdisciplinary projects as the Public Space & Urban Forestry (PSUF) representative, including neighborhood plans and large-scale urban design projects.
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We are looking for a Data Scientist to join our Risk Data Science and Analytics Team. You will improve our risk controls through advanced statistical and analytical techniques. The Risk Data Scientist will identify and prevent fraud on our most valuable sellers.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Demonstrated experience building data pipelines with PySpark, Databricks and AWS. Relevant certifications i.e., AWS Certified Solutions Architect is a plus. Deliver solutions for business and technology priorities on-time and within budget, ensuring alignment with State Street's standards, data and cloud strategies, IT Risk and Resiliency.
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azure architect big data jobs Title: databricks in Woburn, MA
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