One of our direct client is urgently looking for Data Engineer

Title: Data Engineer  (Spark, Java, Cloud)
Location: Bangalore, India OR Remote
Duration: 1+ year  ( Contract to hire option is available )

Must have skills: Spark , Hadoop, Java, GCP/Azure, Big Data ,


Our Team

As the biggest company in the world (Fortune #1), we just don’t design solutions that work. Our software solutions solve for performance and complexity of scale. On a weekly basis, there are 260+ Million customers who visit our stores across the globe. We have 6 petabytes of data (entire internet archive is 15 Petabyte) and tables having 200+ Billion rows.

The team at Bangalore has an open fun culture where each idea is challenged as well as respected. If you are a software geek, who loves to solve complex problems and are interested to learn new things daily then Client is the place for you

As part of the Delivery Services we offer specific services to Internal Projects /Customers.

Your Responsibility
• Design, build, test and deploy cutting edge solutions at scale, impacting millions of customers worldwide drive value from data at Client Scale
• Interact with Client engineering teams across geographies to leverage expertise and contribute to the tech community.
• Engage with Product Management and Business to drive the agenda, set your priorities and deliver awesome product features to keep platform ahead of market scenarios.
• Identify right open source tools to deliver product features by performing research, POC/Pilot and/or interacting with various open source forums
• Develop and/or Contribute to add features that enable data analytics at Client scale
• Deploy and monitor products on Cloud platforms
• Develop and implement best-in-class monitoring processes to enable data applications meet SLAs
· Communicate effectively with Customers across geographies to serve their needs
· Work with vendor partners and lead them in resolving the issues. Will be point of contact for vendors and provide SME support for applications
Our Ideal Candidate
If you love solving complex problems, facing unique technical challenges, making quick decisions and thinking on your feet then this is the role for you! Your passion for technology, solving and troubleshooting complex issues/risks will help you grow and excel in this role.


Your Qualifications
• Expertise in Big Data Ecosystem with deep experience in Java, Hadoop, Spark, Cassandra, NoSQL etc.
• Expertise in distributed architecture and knowledge of MPP engine (Spark, Impala etc).
• Bachelor's Degree and 4+ yrs. of experience or Master’s Degree with 3+ years of experience in Computer Science or related field
• Experience in building scalable/highly available distributed systems in production.
• Experience with SOA & Microservice architecture.
• Knowledge of Software Engineering best practices with experience on implementing CI/CD, Log aggregation/Monitoring/alerting for production system.
• Working Knowledge of Azure / GCP offerings is a plus.
• Familiarly with SQL Server
· Should have excellent Communication and Presentation skills.