Data Engineer- III Job Vacancy in Noon -The Social Learning Platform Bengaluru, Karnataka – Updated today

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Company Name : Noon -The Social Learning Platform
Location : Bengaluru, Karnataka
Position :

Job Description : Noon is making education fun by social learning and collecting a lot of data points, which help to make product and customer experience better. Data comes from a variety of sources, internal and external, and in different formats. The data that we collect in a heterogeneous and distributed storage (Data Lake) .
For our users (employee, customer) to be productive, data needs to be accessible uniformly. While understanding the nature of the data they deal with, our users should not be held responsible for its quality. The collected data might end up containing duplicates, being outdated, and generally being corrupted in several ways; one of the jobs of a data engineer is to prevent these issues and to minimize their occurrence.
We massage data, put its pieces together to provide a different perspective, elaborate it, store it, manipulate it, and optimize its access. We are also in the process of building pipelines to make the data flow from one sector of our architecture to another. We write efficient software, maintain our clusters, optimize and advise on queries, and continuously re-evaluate our process to make it faster and more accurate. To do this, we keep the discussion open, share our findings, and hold each other accountable.
We are in the middle of a substantial transformation process. We are piecing together a data science architecture that needs to sustain tons of gigabytes of data in a dependable and distributed way so that the data is at the fingertips of its users. If you haven’t been scared yet? Then maybe you might consider joining forces with us.
To know more, check out blog written from our engineers here: https://medium.com/noon-academy
About You:
As a Senior Data Engineer you will be part of an elite team of highly talented individuals all from diverse backgrounds, all working together to push the boundary of the art of the possible. You will be working closely with other Senior Data Engineers and folks in the Engineering, Business, Operations, and Product teams will be your companions on this ride and you will be solving problems that have the potential to change the lives of millions of students and teachers across the globe.
Requirements
As an individual, you will be self-motivated working autonomously to build parts of the platform solving problems as you encounter them. We are an agile team and follow a lightweight process strongly indexing on impact. Trust, Communication and Collaboration are the primary tenets of our core values.
What You Will Do:
Developing and maintaining automated reliable and scalable ETL pipelines for big data using Python, Spark, SQL and AWS services.
Responsible for designing and creating the data warehouse and all related extraction, transformation and load of data functions in the company.
Deploying data pipelines in production based on Continuous Delivery practices.
Our stack that you will be working with and learning from:
Java, Golang, Python, Spark, Druid, Flink, Redis, Kafka, Cassandra, MySQL, Elasticsearch, Redis, Graph DB, AWS, K8s, containerization.
Ideally, you should have:
At Least 3+ years of experience as a Data or BI Engineer dealing with large complex data scenarios. For transitioned data-engineers, overall experience of 5+ is preferred.
Demonstrated ability in data modeling, ETL development, and data warehousing.
Data Warehousing experience with any database like Redshift etc.
Ability to understand basic query profiles and execution plans. Experience in query performance tuning is a plus.
Coding proficiency in at least one modern programming language (Python, Java, Scala, etc)
Experience with Big Data Technologies (Presto, Hadoop, Hive, Spark, Airflow, etc.)
Experience in large-scale data warehousing projects using Redshift, S3, Spark, Presto, Hive.
Learning ability : Is self-reflective, Has a hunger to improve, Has a keen interest to drive their own learning. Applies theoretical knowledge to practice.
Nice to have: Attends and participates in conferences/meetups/user groups, Contributes to open source projects.

What will you find:
You get to work with the best minds and learn from the leaders who have built Noon Academy.
No boundaries and no white-topping setup – where there is a lot of freedom to explore and expand your horizons of what you want to do in your career.
High energy teams with passion for value oriented tech.
Witness hyper growth at a scale which you only get to read or hear about in the news.
Tech – which will support scale and growth – Currently at 6M user base and expecting exponential growth.
As part of the Central Data platform team, you will be responsible for serving data
needs of Analyst, DataScience, Product/Business and Backend communities.

Benefits
You will be joining the world’s first social learning platform where you can have a real impact in a smart, low-ego multi-cultural team. We provide an environment where you can develop your skills and deliver meaningful work that matters. You’ll be able to enjoy a competitive salary as well as a full spectrum of generous perks and rewards:
Not a morning person? No problem! We offer flexitime and a great work-life balance, including 2-3 days working from home per week
21 days annual leave plus 12 Casual/Sick leaves and 12 government holidays
Full premium Medical coverage including Family Dependants
Tax benefits on expenses incurred towards Broadband, Phone, Books & Wellness
Learning budget of INR 20K per year
One time work from allowance of INR 30k plus INR 1500/month as Internet allowance during the WFH duration
In house lunch and well stocked pantry. Of course when we resume office!
Diversity & Inclusion:
At Noon, we respect and value differences. We know that when people from different backgrounds and with different points of view work together, we create the most value – for our clients, our people and society. We’re so lucky to live in a society where differences are celebrated, so we’d expect nothing else from our teams. That means whatever your race, religion, sexual orientation or gender, this is a place to feel at home, express yourself freely and make your mark. Noon is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of age, disability, gender identity, marital status, race, colour, ethnicity, religion, sex, national origin or sexual orientation. We aim to be truly representative of the world and for each and every employee to feel respected.

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