Data Engineer

As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers' digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Client offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development.

• Up to 8 years of software development experience in a professional environment and/or comparable experience such as:
• Bachelor's or master's degree in computer science, computer engineering, or other technical discipline, or equivalent work experience, is preferred
• 5+ years of software development experience in big data technologies such as Python, Spark, PySpark, Spark SQL, Shell Scripting & Hive
• Preferred - 5+ Years of hands-on experience in Data Ingestion, Data Organization & Data Consumption frame works using AXP Enterprise Data Platform
• Good understanding of big data technologies such as Spark, Mapreduce, YARN, Hive, Zookeeper etc. Preferably, with some real-world experience.
• Experience in design and development for batch, streaming and real-time big data applications using AXP EDP platform
• Experience in hierarchical data structures in json/ xml
• Experience with AXP CI/CD frameworks for code management and deployment like GitHub, Jenkins, XLR
• Experience with NoSQL technologies (column-family, key-value or document datastores)
• Experience (preferably GCP) and exposure to cloud native big data technologies would be a plus
• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores
• REST API design and implementation experience
• Good understanding of NoSQL technologies such as HBase, Cassandra, Redis, Memcached etc. Preferably, with some real-world experience.
• Ability to effectively interpret technical and business objectives and challenges and articulate solutions
• Understanding of SOA, microservices and containerized application concepts would be a plus
• Strong analytical skills and programming skills, in production environment.
• Hands on Experience on GraphQL a plus
• Experience with Production Support/Dev-Ops would be a plus
• Willingness to learn new technologies and exploit them to their optimal potential