Required Skills

Linux Architecture power bi Informatica application architecture microsoft Open source big data SQL Python

Work Authorization

  • Citizen

Preferred Employment

  • Full Time

Employment Type

  • Direct Hire

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 14th Jun 2022

JOB DETAIL

Scope:

  • Core responsibilities to include data engineering in Azure Data Platform Domain. Solid understanding of data ingestions data transformation using big data systems is essential.

  • The team currently comprises of 30 + global associates across US, India (COE ) . We are part of corporate engineering team who leverage cutting edge technologies such as AI/ML, RPA, Low Code Bigdata to deliver innovative solutions for BYonders . The incumbent should be a quick learner and adaptable who is willing experiment and learn quickly from failure.

Our C urrent T echnical E nvironment:

  • Software: JavaScript, Java, C#, GIT, Rest API, OAuth, Node.JS, Linux,

  • Application Architecture : Scalable, Resilient, event driven, secure cloud native architecture

  • Cloud Architecture : MS Azure (ARM templates, Application Service, Serverless, SQL Server, Data Bricks, ESB, Logic Apps, Azure Search, Key Vault, Azure AD)

  • Frameworks/Others : Open Source, App Smith, Elastic Search, Event Driven Design, Composable Architecture, Enterprise Data Platform , Informatica (ICS, ICRT, MDM)

What Y ou ll D o Here :

  • Collaborate with experienced IT engineers to ingest and prep data to deliver business intelligence for BYonders to take data driven decisions.

  • Deliver proof of concerns for business problems by leveraging the current technology stack and open source technologies

  • Work in an agile environment to deliver high-quality software.

  • Be a key contributor to Enterprise Data Platform Operations and Maintenance

What W e A re L ooking F or:

  • 4 to 6 years experience with Big Data Systems on Cloud esp. Azure

  • Should have hands-on experience in Azure Data Platform Services like Azure Data Factory, Azure Databricks, Azure Data Lake, Key Vault, Azure Synapse Analytics, Azure SQL Server

  • Should have hand-on experience in Python, PySpark Spark SQL

  • Should be able to develop reports and dashboards using Microsoft Power BI

  • Should be able to implement robust, re-usable and scalable data pipelines using Azure Data Factory

  • Should be able to create consume data services using REST API

  • Ability to create reusable components for rapid development of data platform

  • Should have strong Analytical communication skills

  • Have experience in working within Scrum teams

  • Ability to quickly resolve issues and refactor code into reusable libraries, APIs, and tools

Nice to have:

  • Understanding of infrastructure (including hosting, container-based deployments, and storage architectures) would be advantageous

Desirable Certifications (at least 1 in preference of order below):

  • Microsoft Certified: Azure Data Engineer Associate

  • Microsoft Certified: Data Analyst Associate

  • Analyzing and Visualizing Data with Microsoft Power BI

 

 

 

 

 

Company Information