Upstox Campus Recruitment 2022 Hiring Freshers as Data Engineer of Any Degree Graduate
Upstox Campus Recruitment 2022: Upstox (RKSV Securities India Pvt. Ltd.) is one of India’s leading Discount Broking companies which enables investors and traders to trade in Stock Market and Commodities exchange at a fraction of market price with our state-of-the-art trading platform. One of the fastest growing stock broking companies and first brokers in India to introduce commission-free trading for investors.
Company Name: RKSV Securities India Pvt. Ltd.
Company Website: Upstox
Position: Data Engineer
Degree Needed: B.E/B.Tech
Passout Year: 2021/2022
Job Location: Bangalore
Package: As Per IT Standards
Experience Level: 0 – 1 Year
Jobs By Location And Passout Year:
Ideally, you should have:
- Good understanding on building and deploying large scale data processing pipelines in a production environment
- Experience building data pipelines and data centric applications using distributed storage platforms like HDFS, S3, NoSql databases (Hbase, Cassandra, etc) and distributed processing platforms like Hadoop, Spark, Hive, Oozie, Airflow, etc in a production settingHands on experience in MapR, Cloudera, Hortonworks and/or Cloud (AWS EMR, Azure HDInsights, Qubole etc.) based Hadoop distributions.
- Strong communication and client-facing skills with the ability to work in a consulting environment is essential·
Desired Skills and Experience:
- Comfortable working in Linux environment.
- Fluent in programming languages like Nodejs/Java/Python/AWS
- SQL (Expert Level) Hands-on Experience in Distributed Processing platforms such as AWS EMR, MapR, Cloudera
- Distributed storage platforms like HDFS, S3, NoSql databases
You will be responsible for:
- Creating complex data processing pipelines, as part of diverse, high energy teamsDesigning scalable implementations of the models developed by our Data Scientists.
- Hands-on programming based on TDD, usually in a pair programming environment.
- Deploying data pipelines in production based on Continuous Delivery practices
- Create and maintain clear documentation on data models/schemas as well as transformation/validation rules.
- Troubleshoot and remediate data quality issues raised by pipeline alerts or downstream consumer.
- Engage with stakeholders to gather requirements to deliver data solutions.
- Advising clients on the usage of different distributed storage and computing technologies from the plethora of options available in the ecosystem
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