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Big Data: Azure Stream Analytics, Azure HDInsight, Amazon E lastic Map Reduce (EMR) , AWS Athena, Apache Spark, Hadoop, Hive. Advance Analytics: Python, R Studio, Data R obot , DataBricks MLflow , AWS Sagemaker, Azure Machine Learning Studio.
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Bachelor’s degree in information technology, computer science, engineering or similar field and 5 years of progressive post-baccalaureate experience as a data engineer, database developer, software architect, solutions architect or related experience in big data processing.
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Proven experience as a Data Engineer, working with large-scale data pipelines, data warehouse architecture, and ETL processes. As a Data Engineer, you will play a critical role in developing and maintaining our data analytics infrastructure and data warehouse architecture.
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4+ years of experience in the big data space. Experience with other Data platforms like DBT, Snowflake, DeltaLake, etc. 3+ years of experience working on Spark (RDDs / Data Frames / Dataset API) using Scala/Python to build and maintain complex ETL pipelines.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Our data engineering tech stack is primarily AWS running Spark/Scala within Databricks. The Data Engineering Manager is responsible for managing, coaching and mentoring a team of data engineers that will build data pipelines and data warehouse solutions to support business analytics.
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Experience in developing Big Data cloud-based applications using the following technologies: SQL, Azure, Snowflake, PowerBI. You will be leading the team that designs and builds highly scalable data pipelines using new generation tools and technologies like Azure, Snowflake, Spark, Databricks, SQL, Python to induct data from various systems.
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Experience with big data technologies which may include Hadoop, Cloud Computing Environments (including container creation, management & deployment), Spark, etc. & data visualization software (Power BI, Adobe Analytics, Excel, etc.
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If you believe in big goals, consider joining our team to help solve reliability challenges for the world's largest semiconductor, printed circuit board, and precision assembly manufacturers. At Nordson Electronics Solutions we have big goals, an innovative spirit, and a vision to become the preferred partner to electronics manufacturers worldwide.
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The Principal Data Engineer will join the Corporate Research Systems Lab (CRSL) to develop scalable Data Systems. Principal Data Engineer. Exposure to data and data types in the Materials science, chemistry, computational chemistry, physics space a definite plus, but not required.
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Maintain and implement improvements to existing data science solutions. Responsibilities include but not limited to: Perform basic data analysis/science tasks such as: data wrangling, exploratory data analysis, visualization, modelling, implementation, and maintenance under the direction of senior team members.
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Experience using industry-standard data visualization tools such as Tableau, Power BI, R or similar platforms. Previous teaching experience at the undergraduate or graduate level, or relevant professional experience in data visualization.
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National Grid Renewables is hiring a Data Scientist to improve our suite of machine learning products. Candidate for an undergraduate or graduate degree in degree in Computer Science, Data Science, Electrical Engineering, Social Science or quantitative fields.
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Familiarity with big data technologies (e.g., Hadoop, Spark). Experience with data reporting tools (e.g., Power BI, Qlik, Tableau, Crystal Reports) Experience with Power BI Reports using Direct Query from Azure SQL Databases, DAX Functions, and preparation of Power Pivot Tables in Excel from Power BI Data Sets.
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Big data pipeline engineering and optimization. Title: Staff Data Engineer Responsibilities Lead the technical definition, prototyping, and production-ready enablement of LTK’s data lakehouse, optimizing efficiencies, performance, scale, and cost.
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big data jobs Title: big data software engineer Company: Jpmorgan Chase Bank N A in Minneapolis, MN
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