Principal Big Data Engineer

Primary ResponsibilityAs a Principal Data Engineer, you must be an expert with Big Data technologies like Hadoop, Hive, Hbase, Spark, and various AWS technologies.You will architect and drive the build out of next generation data platform.As a hands-on engineer, you will influence all architecture decisions.You will build reusable code, with the ability to scale with very large data volumes.Everything you build will need to scale and perform.As a Principal member on the team you will also mentor junior/senior engineers on the team.Define and lead the frameworks for compliance with data management standards for emerging technologies (streaming platforms, cloud integration, etc.)You will architect and drive the build out of next generation data platform.General ResponsibilitiesBuild and lead high-performing, agile teams focused on Data Engineering.Be part of a core team leading migration to new data technologies for unstructured, streaming and high volume data.Overall accountability for ensuring teams adopt established data management frameworks to prevent data lakes from becoming data swamps.Provide senior level technical consulting to application development teams during application design and development for highly complex or critical projectsAs a hands-on engineer, you will influence all architecture decisions.As a Principal member on the team you will also mentor junior/senior engineers on the teamJob Functions:Provide technical leadership to build and implement data and big data solutionsArticulate pros and cons of various technologies, platforms and tools.Demonstrated work experience with distributed, scalable Big Data programming model and technologies such as Hadoop, Hive, Pig, etc.Demonstrated hands-on experience with at-least one of the major Hadoop distributions (Preferrably Cloudera).Deep technical Expertise in Hadoop eco system components.Experience designing, developing and implementing online-machine learning libraries.Minimum Experience: 10+ years of Data Engineering experience8+ years’ experience in dimensional data modeling, ETL development, and Data Warehousing5+ years of experience in Hadoop MapReduce, Hive, Pig, Spark, and Yarn4 years of business experience leading analyses and initiatives with track record of business impactCloud Dev and Migration-AWS-Analytics/DW/Redshift : 1+ yearTravel: Need localsDegree: Bachelors in Computer Science or equivalent work experienceDesirable Skills:Hadoop/Cloud Developer CertificationExperience deploying applications in a cloud environment; ability to architect, design, deploy and manage cloud based Hadoop clustersExposure to cloud infrastructurePosting Date:Department: -