Data Engineer Noida (Job Code : J41728)  

 Job Summary
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Experience:
7.00 - 11.00  Years 
 
Location:
Noida
 
Designation:
Data Engineer Noida
 
Degree:
BE-Comp/IT, BE-Other, BSc-Comp/IT, BSc-Other, BTech-Comp/IT, BTech-Other
 
Educational Level:
Graduate/Bachelors
 
Stream of Study:
 
Industrial Type:
IT-Software/Software Services
 
Functional Area:
IT Software - System Programming
 
Key Skills:
Data Factory,Azure Data Lake
 
Job Post Date:
2019-09-27 12:35:30  
 
 

 Company Description
 
Our client designs technology to enable bright outcomes around the world. Seeing beyond the image, they develop visualization and collaboration solutions to help you work together, share insights, and wow audiences.Their focus is on three core markets: Enterprise (from meeting and control rooms to corporate spaces), Healthcare (from the radiology department to the operating room), and Entertainment (from movie theaters to live events and attractions). In 2017,their revenue was 1.085 billion euro. they have a team of 3,600 employees, located in 90 countries, whose passion for technology is captured in 400 granted patents.
 

 Job Description
 
Job Overview: -
You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, architects, data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. You must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
Experience Needed: - 7 to 10 years
Must have skills:
Azure experience: Data Factory, Data Explorer (Kusto), SQL Azure, TSI, Stream Analytics, Azure Data Lake, AAD, etc. – i.e. “the Microsoft ecosystem”
Scala/ Python
Good to have skills:
• Jenkins, Git, Docker, Log Stash
• Kubernetes
Responsibilities of Data Engineer:
• Create and maintain optimal data pipeline architecture,
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data pipelines for analytics team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.