Azure Data Engineer Lead @ ITSource

Job Description

About us Founded in 2012, Data Semantics is a data science company with a vision to empower every organization to harness the full potential of its data assets. To achieve this, we provide Artificial Intelligence, Data Lake, and Data Warehousing solutions to enterprises across the globe. We have over 400 employees happily engaged in innovative and exciting projects across the globe. We are headquartered in Bangalore, India with our offices in 6 global locations including United Arab Emirates, USA, and Europe. Data Semantics was listed as one of the top 20 Analytics companies by Silicon India 2018 & CIO Review India 2014 as one of the Top 20 BI companies. Our mission is to build innovative AI solutions which reduce time to market for our. customers. For this Job, you will require: BTech/ Masters degree or equivalent in computer science/computer engineering/IT, technology, or related field. 8 (or) More Years of Good Hands-on Experience in Azure Data Engineering Good hands-on experience on Azure Data Lake, Data Factory, Data Bricks and Logic apps. Strong SQL Skills and Hands on experience. To join us, you should: Have excellent relationship building and organizational skills. Enjoy working in a fast-changing field. Be able to demonstrate the solution/product capabilities to clients. Be able to design new solutions and products for multiple domains. Requirements You must have: Designed (or) worked-on solutions on Azure platform using Azure data factory, Azure Data Lake, Azure Data Bricks, Azure Synapse Analytics, Azure SQL, Power shell, Azure logic apps, Azure automation, Blob storage and T-SQL. Should have done at least 1 greenfield Data Lake, Delta Lake(or) Data warehousing project in Azure landscape. Design, build and maintain Azure Data Analytics solution. Should be well familiarized with CI/CD in Azure DevOps platform. Build solution as per the customer needs and defined Architecture. Analyze, design, implement and test medium to complex mappings independently. Strong experience in transforming large datasets as per business needs. Should be able to write scripts in Python or any other scripting language. Understanding of Self-Service BI/Analytics, User Security, Mobility, and other BI Participate in design/discovery sessions and workshops with end users. A flexible approach to dealing with ad-hoc queries. To Guide and help the junior team members in achieving their goals and objective

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Engineering Design / Construction
Functional Area: Not Applicable
Role/Responsibilies: Azure Data Engineer Lead

+ View Contact

Keyskills:   SQL Relationship building Product design TSQL Azure DevOps Data Analytics Python BI Azure Data Engineering Azure Data Lake Data Factory Data Bricks Logic apps Organizational skills Solutionproduct capabilities Designing solutions Azure platform Azure Synapse Analytics Power shell Azure automation Blob storage CICD SelfService BIAnalytics User Security Mobility