Collaborate with cross-functional teams to understand business requirements and deliver scalable solutions.
Define, architect, and manage the full lifecycle of data products.
Employ creative thinking and innovative approaches to problem-solving.
Proactively identify potential issues and communicate them effectively to both the team and management.
Thrive in a fast-paced environment, adapting quickly to ambiguous problem statements.
Deliver high-quality results from initial concepts.
Your day to day -
In this role, the individual will be part of our ARP 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.
Be a Mentor for the junior members in the organization.
What do you need to bring-
7-12 years of experience in the IT industry, experience in Data Technology space is preferred.
Proficiency on Google Cloud Platform, Big Data , Streaming Integrations
Experience in any programming language like PySpark , Python , Scala, and Spark
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 modeling 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.
Knowledge of UI, Fullstack, UX, Hadoop, Spark, HBase and Hive is highly preferred.
Knowledge and Working experience on Cloud platforms is highly preferred
Knowledge in MPP Databases/ Distributed systems
Knowledge on Big data Environments and Cloud integration
Exposure to Data Quality and Profiling tools is a plus.
Exposure to any of the BI tools desired ( Tableau, Looker, Micro strategy, Business Objects)