Data Engineer

Your day to day In this role, the individual will be part of the Data engineering team and will be responsible for. Participating and collaborating with cross functional teams in the organization to understand the business requirements and to deliver solutions that can scale. Planning the execution of the project in an effective and efficient manner. Approaching the problem, taking into account all possibilities and options. Creativity and out of the box thinking is required. Proactively anticipating problems and appropriately communicating to the team and management in a timely manner. Being flexible and being able to support all functions of product life cycle when required. Ability to work in a fast-paced environment. Ability to deliver from coarse grained requirements. What do you need to bring- 2 + years of experience in the IT industry, experience in Data Technology space is preferred. Proficiency on Google Cloud Platform, GKE, Big Data, Streaming Integrations Knowledge in any programming language like Java, Python and Scala Knowledge of Hadoop, Spark is highly preferred. Working experience in any MPP systems, should have strong SQL programming skills. Knowledge of data warehousing concepts Excellent written and oral communication skills Strong analytical skills including the ability to define problems, collect data, establish facts, and draw valid conclusions. Expertise in database programming and performance tuning techniques Familiar with data movement techniques and best practices to handle large volumes of data. Experience with data warehousing architecture and data modelling best practices Experience with File Systems, server architectures, and distributed systems Strong communication skills and willingness to take initiative to contribute beyond basic responsibilities. Working experience in an Agile methodology is highly preferred. Desired Skills: Knowledge in AI/ML is a desirable skill