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Work with the Database Engineer and Developer to carry out the development of the data warehouse based on the requirements using PostgreSQL, SQL Server Integration Services, SQL Server Management Studio, Snowflake, Python, PySpark, Azure Data Factory and Azure Data Bricks.
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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. Strong SQL, PL/SQL experience and skilled in creating and optimizing queries and data structures.
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Experience with SQL and NoSQL based databases for storage and processing of structured, semi-structured & unstructured data. o Programming Language: Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting.
$156,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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ETL tools Teradata, MS SQL Server, Data Transformation Services, Oracle SQL Developer, SQL Server Integration Service (SSIS), ADF, DataStage, Azure Synapse. Reporting tools SQL Server Reporting Services (SSRS), Power BI Additional Databases: Azure SQL Database, SQL Server Analysis Service (SSAS), EDW, EDL DevOps, Azure Blob, Azure Data Lake, Synapse, AWS, S3, GCP, Azure Functions.
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Please email your resume orUse this link to apply directly: Or email: igorkbrainsworkgroup.com Check ALL our Jobs: Keywords: java oracle sql api python javascript tidal jira servicenow confluence analyst pl/sql t-sql mulesoft anypoint ci/cd python restful postman swagger apigee.
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Collaborate with local business users to understand business processes, gather technical requirements, evaluate proof of concepts, design, develop and support analytical solutions using TIBCO Spotfire, Power BI, SQL, Python, R, JS,HTML etc.
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Enhance current Data Quality framework to be more comprehensive and scalable; using Alteryx, SQL, PowerBI. You can demonstrate experience in commonly used Business Intelligence tools, e.g. Alteryx, SQL, Tableau, Power BI, Business Objects, or other similar tools.
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The primary role of the Sr Engineer, Data Integrations & Analytics, is to work within our Accounting & Finance team to develop and support technical aspects of Oracle Fusion Cloud (ERP/EPM/EDM) such as OIC Integrations, ESS Jobs, Configurations, Rest & Soap calls, API's, FBDI Loads, BIP reports, and BICC. You’ll be responsible for all aspects of designing technical solutions, debugging and resolving data issues as well as developing solutions based on specifications.
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Utilize programming languages like JavaScript, Vue. JS/Angular/Node. JS, HTML/CSS, TypeScript, Java, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Senior Manager, Data Engineering (Spark, Scala, SQL) 9+ years of experience in application development including Python, SQL, Scala, or Java. As a Capital One Senior Manager Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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5+ years of experience in at least one of the following: JavaScript, HTML/CSS, Java, TypeScript, SQL, Python, or Go. Senior Software Engineer, Full Stack (Javascript/ Typescript) As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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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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Develop highly complex SQL queries to extract data for analysis and model construction. Tools/Products: Microsoft SQL Server, Snowflake, SSIS (SQL Server Integration Services), HVR/Fivetran, Snaplogic, SSRS (SQL Server Reporting Services), RedGate Developer Toolkit, Tableau, PowerBI.
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Demonstrate the ability to access, trace, analyze, and remediate data issues leveraging SQL and applicable AWS tools such as Athena and Redshift. Work with a highly proficient team using Tableau/Tableau Server, SQL, Relational/Columnar Databases, Data Modeling, MS Office.
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The Senior Big Data Engineer will be responsible to employ various tools and techniques to construct frameworks that prepare information using SQL, Python, R, Java and C. 3+ years of Python, Java or any programming language development experience 3+ years of SQL & No-SQL experience (Snowflake Cloud DW & MongoDB experience is a plus) 3+ years of experience with schema design and dimensional data modeling Expert proficiency in SQL, NoSQL, Python, C.
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sql job Title: data engineer Company: 3ktechnologies
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