| Azure Data Engineer at Weehawken, NJ (Onsite- Hybrid Model) at Weehawken, New Jersey, USA |
| Email: [email protected] |
| From: Venkatesh K, Smartfolks Inc [email protected] Reply to: [email protected] Hi, I have an immediate role asAzure Data Engineer. Below are job details. If interested please send updated resume, rate and contact details. Role: Azure Data Engineer Work Location & Reporting Address:Weehawken, NJ (Onsite- Hybrid Model) Contract duration (in months): 6-12 Job Details: Tech Stack: Python (expert) SQL and NoSQL databases (medium) Spark-SQL (medium) Git Gitlab Experience with Azure: ADLS, Azure Data Factory, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates Skills Required: Preferred BS in computer science, computer engineering, software engineering or related field Previous experience as an Azure Data Engineer or similar role Experience building and optimizing 'big data' data pipelines, architectures, and data sets Strong analytic skills related to working with unstructured datasets The ability to design and implement well written code Ability to work to tight deadlines Ability to test the data from source to the presentation layer Ability to support/troubleshoot data pipelines Confident and concise communication skills, with the ability to drive alignment, collaboration, and efficiency within teams Responsibilities: Experience working on batch and streaming data processing projects. Assure that data is cleansed, mapped, transformed, and otherwise optimized for storage and use according to business and technical requirements Develop and maintain innovative Azure solutions Solution design using Microsoft Azure services and other tools The ability to automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.) Load transformed data into storage and reporting structures in destinations including data warehouse, high speed indexes, real-time reporting systems and analytics applications Build data pipelines to collectively bring together data Other responsibilities include extracting data, troubleshooting and maintaining the data warehouse Design logical and physical database structures using Microsoft SQL Server. Design, build and deploy effective SSIS packages, Azure Data Factory. Provide technical documentation, as needed. Strong SQL Skills and ability to write advanced SQL statements. Development of high-quality database solutions. Develop, implement and optimize stored procedures and functions using T-SQL. Analyze existing SQL queries for performance improvements. Data mapping, transformation and performing ETL based on complex logic. |
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| Mon Oct 31 22:08:00 UTC 2022 |