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We are adding privacy features to Apache's big data ecosystem (Spark, Hive Presto), and building world-class data security & privacy framework for big data tech stack.
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3+ years designing and building large-scale data processing systems using Apache Pyspark, Apache NiFi, and other big data technologies. This role requires extensive experience in Cloud-based EDW platforms and a strong foundation in big data technologies.
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Ensure relevant knowledge and skills are up-to-date, e.g. methods and tools within data mining, statistical methods, machine learning, big data analysis, predictive analytics, programming, and relevant hardware/software engineering.
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Utilize Databricks for big data processing, analytics, and machine learning workflows. If you are passionate about data engineering, have a strong background in AWS and Databricks, and thrive in a collaborative and innovative environment, we want to hear from you.
$146,400 - $175,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will construct semantic layers for Looker, MicroStrategy, Tableau, and In-House Tools on top of our big data warehouse, making sure the data is represented to analysts in an accurate, consistent, and performant way.
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In-depth knowledge of the Databricks Unified Analytics Platform and its features for collaborative big data analytics. Use of tools like Apache Airflow, ADF, or Databricks to orchestrate and schedule data workflows.
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Experience in designing and implementing ETL processes using Databricks notebooks for efficient data extraction, transformation, and loading. Top 3: 1 Skill : Data Engineering 5+ 2 Skill : Data Bricks 5+ 3 Skill : Sparks/ Dev ops practices 5.
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Familiarity with Databricks for big data processing. Development and integration of DevOps related tool chain across Operations and Development organizations like TFS, Azure DevOps Service, ARM Templates, Visual Studio, GitHub and Data protection & privacy knowledge.
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Direct Client - Sr Lead Data Engineer Apache Spark, Spark Core, Spark SQL, Spark Streaming – Data Bricks Location: Hybrid (Seattle, WA) Length: 12 Months Job description This position contributes to Client success by building enterprise data services for analytic solutions.
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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
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Master's Degree MA/MS degree in Healthcare, Engineering, Mathematics, Statistics, Epidemiology, Business, Data Science, Computer Science, or related field. The Senior Health Care Data Scientist is a subject matter expert who applies data science and their knowledge of health care data to develop solutions that improve health care.
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Experience with Big Data technologies(Hadoop, M/R, Hive, Spark, Presto, Flink, Kafka, ClickHouse etc) The team are missioned to ensure the safety of company-level big data products and compliance with local principals and regulations.
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Applies a solid understanding in one or more of these areas (IT General Controls, Cybersecurity, Cloud operations, Data governance, Data privacy compliance, or Big Data) to execute technical audits or other risk and compliance-related initiatives in order to identify, assess, and explain risks, report findings, and develop and communicate recommendations.
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You are a driven data engineer with experience working with big data technologies such as Docker, ECS, S3, Redshift, Kafka, and RDS. You have experience with ETL/ELT and data warehousing using tools such as dbt, Azure Data Factory, Matillion and/or Fivetran.
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A proven track record in building and maintaining big data platforms for streaming and batch data processing, data engineering, building backend systems and APIs. Partner with data scientists, data analysts, fraud specialists, infrastructure engineers and product managers to design, build and deliver big data projects and new data platform capabilities.
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big data jobs Title: data administrator Company: Indeed in Bellevue, WA
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