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Data platform architecture, system design, and platform engineering of Azure cloud infrastructure, ADLS Gen2, ADF, Event Hub, Kafka, Databricks, SQL Server and Snowflake. Data platform architecture, system design, and platform engineering of Azure cloud infrastructure, ADLS Gen2, ADF, Event Hub, Kafka, Databricks, SQL Server and Snowflake.
$137,500 - $206,200 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Automate export/import metadata to and from the Data Governance platform. Experience with Azure Kubernetes, GitHub, Harness / Drone. our data security practices working with InfoSec, data privacy and legal teams.
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Installation and configuration of AKS, Azure Key Vault, Azure Virtual Networking, various DB Services, ADF, Functions, Logic Apps etc. Experience implementing industry best practices like code analysis, unit testing, test automation pipelines, security controls using Azure DevOps/TFS, performance testing using VS etc.
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Use of tools like Apache Airflow, ADF, or Databricks to orchestrate and schedule data workflows. 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. In-depth knowledge of the Databricks Unified Analytics Platform and its features for collaborative big data analytics.
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Experience with Azure Kubernetes, GitHub, Harness / Drone CI, or Azure DevOPS required. Build data classification solution to classify sensitive data during the ingestion process, automate export/import metadata to and from the Data Governance platform.
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Good to have experience in Machine Learning, Data Pipelines testing (ADF), and security testing. Hands-on experience with Databricks for data processing and testing. Expertise in JMeter, Selenium & Power BI for visualizing and analyzing data, aiding in the identification of data quality issues and anomalies.
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Familiarity of Understanding of data shoveling tools: ADF, Fivetran, Airflow, etc. The Data Engineer's responsibilities include designing, developing, and deploying Data Integration (ETL and or ELT) solutions using agreed upon design patterns and technologies; working with a large variety of data sources from json, csv, Oracle, SQL Server, Azure Synapse, Azure Analysis Services, Azure SQL DB, DataLake, polybase; and Streaming data sets.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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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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Someone who has worked on Azure cloud with knowledge on Azure DEVOPS (CI/CD & Infrastructure as a code), ADF, ADW & Power BI. Apache Nifi will be good to have. Spark ,Azure DEVOPS (CI/CD & Infrastructure as a code), ADF, ADW & Power.
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Developing visual reports, KPI scorecards, and dashboards using Power BI desktop. Spot key performance indicators with apt objectives Run DAX queries and functions in Power BI Should have an edge over making DAX queries in Power BI desktop.
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Technical Skill ADF; PL/SQL; SQL Server 2012 Analysis Services (SSAS); Cosmos/BI; DAX; RDBMS Concepts; Data Warehouse; Digital: Microsoft Power BI Experience Required 8 + Years Roles & Responsibilities.
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Skills: Spark ,Azure DEVOPS (CI/CD & Infrastructure as a code), ADF, ADW & Power. Skills: Spark ,Azure DEVOPS (CI/CD & Infrastructure as a code), ADF, ADW & Power. Be experienced in tools and systems on MS SQL Server BI Stack, including SSRS and TSQL, Power Query, MDX, PowerBI, and DAX Be able to quickly shape data into reporting and analytics solutions Have knowledge of database fundamentals such as multidimensional database design, relational database design, and more Create functional reporting Study, analyze and understand business requirements in context to business intelligence.
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Must have 2 years of experience with Power BI, Snowflake, Kafka, Data Bricks & Azure/ADF. Must have 2 years of experience with Power BI, Snowflake, Kafka, Data Bricks & Azure/ADF. Must have a Bachelor's degree in Computer Science, Computer Engineering, Management Information Systems or a related field plus five (5) years of progressive, post-baccalaureate experience in information technology.
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Orchestration tools, ADF or Airflow. Strong/expert Spark (PySpark) Using Jupyter Notebooks, Colab or DataBricks. Orchestration tools, ADF or Airflow. o Optimization of data products to service customer personas, Data Science, AI/ML and data visualization.
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adf job Company: 3ktechnologies in Seattle, WA
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Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
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