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Azure Data Architect
Azure Data Architect
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Azure Data Architect

Priyanka U's profile picture
Posted by Priyanka U
8 - 10 yrs
₹16L - ₹28L / yr
Bengaluru (Bangalore)
Skills
SQL Azure
Azure synapse
Azure
Azure Data Architect
Spark
Apache Synapse
PowerBI
databricks
hdinsights
Technology Skills:
 
  • Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub.
  • Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. 
  • Designing and implementing data engineering, ingestion, and transformation functions
 
 
Good to Have: 
  • Experience with Azure Analysis Services
  • Experience in Power BI
  • Experience with third-party solutions like Attunity/Stream sets, Informatica
  • Experience with PreSales activities (Responding to RFPs, Executing Quick POCs)
  • Capacity Planning and Performance Tuning on Azure Stack and Spark.
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About Fragma Data Systems

Founded :
2015
Type :
Products & Services
Size :
100-1000
Stage :
Profitable

About

Fragma is a leading Big data, AI and Advanced analytics company provideing services global clients.

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Connect with the team

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Mallikarjun Degul
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Sandhya JD
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Varun Reddy
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Priyanka U
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Minakshi Kumari
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Vamsikrishna G

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ENGINEERING MANAGER @REBEL FOODS

 

 

About Us

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We urge you to refer to the below to understand how we are changing the restaurant industry before applying at Rebel Foods.

 

https://jaydeep-barman.medium.com/why-is-rebel-foods-hiring-super-talented-engineers-%20b88586223ebe" target="_blank">link 1

https://jaydeep-barman.medium.com/how-to-build-1000-restaurants-in-24-months-the-rebel-method-%20cb5b0cea4dc8" target="_blank">link 2

https://medium.com/faasos-story/winning-the-last-frontier-for-consumer-internet-5f2a659c43db" target="_blank">link 3

https://medium.com/faasos-story/winning-the-last-frontier-for-consumer-internet-5f2a659c43db" target="_blank">link 4

 

 

Engineering History @ Rebel

 

In order to understand more about the challenges that you might face at Rebel, it’s important that we go back to the inception and get acquainted about our journey to date. From the times when excel sheets served as our POS system at stores having one brand, to our evolution as a company that uses smart kitchens - we have traversed the phone, web, and app channels over time. From being a single brand restaurant, we moved to be a parent company with a dozen restaurant brands under the umbrella, while simultaneously moving our operations from a single kitchen to more than 300 locations across 30 cities in India and in a few international locations. The team of engineers at Rebel has built one of the most unique platforms in the world that can not only help operate a kitchen with multiple brands but also aids in operating business at scale. To give you additional perspective, the team has built more than 40+ products in the last 4.5 years. The innovation spans through technologies like polygon architecture (dynamic delivery radius) for a multi-brand operation from a kitchen, to managing each step of the kitchen ops — queuing, load/prep time, batching of orders, out of the door algorithms; inventory prediction based on consumption data, personal


recommendation engine, deep integration with every aggregator, last-mile delivery app, CRM systems, multiple brand websites and apps, reporting and analytics systems, and more. Everything that was mentioned has been built on a tech stack developed by our Engineers. This enabled us to tackle the massive complexity of a multi-brand operation while keeping all parts of the business supremely efficient and optimized.

 

Future of Engineering @ Rebel

 

We are now building Engineering 2.0 at our company. The vision is to make technology the Brain (AI, Machine Learning, analytics to drive every business decision of the company), the Body (robotics led automation at our Kitchens, driving tremendous operational efficiency), and the Mind ( building an AI/ ML-driven virtual personal butler for customers across app, web, and voice, like Netflix of food) at Rebel. This will mean working across technologies and product/engineering teams to build solutions that would be “first - time” in the world. Engineering @ Rebel will break new grounds.

 

 

An opportunity to revolutionize the restaurant industry

 

Here, at Rebel Foods, we are using technology and automation to disrupt the traditional food industry. We are focused on building an operating system for Cloud Kitchens - using the most innovative technologies - to provide the best food experiences for our customers.

 

You will enjoy working with us, if:

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Our technology ecosystem:

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You will mostly spend time on the following:

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A Graphic Designer is a critical part of our mission to promote our brand as fresh, innovative and trustworthy. This vital position requires a creative and innovative thinker to create and support our visual brand identity across various channels. As a Graphic Designer at Mindler, you will be working closely with the marketing team to conceptualise and design new graphics, marketing collaterals, blog visuals, infographics and social media posts.

 

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Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.

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We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month. 

Some articles about Turing:


Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.


About the role:

Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us. 

 

We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc. 

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As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).

This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&;hl=en">Google Scholar profile. 


Responsibilities:

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  • Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.

 

 

Minimum Requirements:

 

  • BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
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Other Nice-to-have Requirements:

 

  • First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals. 
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  • Strong communication skills.
  • Experienced in leading large-scale multi-engineering projects.
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Shubham Vishwakarma

Full Stack Developer - Averlon
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