Job Location: Hyderabad/Secunderabad, Pune, Bangalore/Bengaluru
I reviewed your profile for our Data Engineering role, and I’m impressed with your experience and background. I would like to understand your qualifications and skills further in detail over a call.
Kindly send me an affirmation so that we can get in touch as soon as possible. Meanwhile here is a little bit about us that will help you get to know us better.
CoffeeBeans Consulting is an award-winning Tech company, founded by IITM and BITS Pilani alumnus, that offers services that are powered by AI and Big Data. We are proud owners of a recommendation engine called WRU, in addition, we are also getting our hands dirty into creating a shared marketplace named Shoptype.Apart from our products we also help eminent consulting firms with their Big Data Pricing strategies. From building core web/mobile apps to helping startups rapidly build their dream products, we have done it all!
Job responsibilities
– You will partner with teammates to create complex data processing pipelines in order to solve our clients’ most complex challenges
– You will pair to write clean and iterative code based on TDD
– Leverage various continuous delivery practices to deploy, support and operate data pipelines
– Advise and educate clients on how to use different distributed storage and computing technologies from the plethora of options available
– Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions
– Create data models and speak to the tradeoffs of different modeling approaches
– Seamlessly incorporate data quality into your day-to-day work as well as into the delivery process
– Encouraging open communication and advocating for shared outcomes
Technical skills
– You have a good understanding of data modelling and experience with data engineering tools and platforms such as Spark (Scala) and Hadoop
– You have built large-scale data pipelines and data-centric applications using any of the distributed storage platforms such as HDFS, S3, NoSQL databases (Hbase, Cassandra, etc.) and any of the distributed processing platforms like Hadoop, Spark, Hive, Oozie, and Airflow in a production setting
– Hands on experience in MapR, Cloudera, Hortonworks and/or cloud (AWS EMR, Azure HDInsights, Qubole etc.) based Hadoop distributions
– You are comfortable taking data-driven approaches and applying data security strategy to solve business problems
– Working with data excites you: you can build and operate data pipelines, and maintain data storage, all within distributed systems
– You’re genuinely excited about data infrastructure and operations with a familiarity working in cloud environments
Professional skills
– You’re resilient and flexible in ambiguous situations and enjoy solving problems from technical and business perspectives
– An interest in coaching, sharing your experience and knowledge with teammates
– You enjoy influencing others and always advocate for technical excellence while being open to change when needed
– Presence in the external tech community: you willingly share your expertise with others via speaking engagements, contributions to open source, blogs and more
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