A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries helping them shape their hybrid cloud and AI journeys. With support from our strategic partners robust IBM technology and Red Hat you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting curiosity fuels success. You’ll be encouraged to challenge the norm explore new ideas and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
In this role you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers) where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
- As a Big Data Engineer you will develop maintain evaluate and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs.
- Your primary responsibilities include:
- Design build optimize and support new and existing data models and ETL processes based on our clients business requirements.
- Build deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization.
- Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too.
- Must have 5+ years exp in Big Data -Hadoop Spark -Scala Python
- Hbase Hive Good to have Aws -S3
- athena Dynomo DB Lambda Jenkins GIT
- Developed Python and pyspark programs for data analysis.. Good working experience with python to develop Custom Framework for generating of rules (just like rules engine).
- Developed Python code to gather the data from HBase and designs the solution to implement using Pyspark. Apache Spark DataFrames/RDD's were used to apply business transformations and utilized Hive Context objects to perform read/write operations.
- Understanding of Devops.
- Experience in building scalable end-to-end data ingestion and processing solutions
- Experience with object-oriented and/or functional programming languages such as Python Java and Scala