Posted:6 months ago| Platform: Linkedin logo

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Qualification 7-10 Years of overall IT experience with minimum of 6+ years of experience in big data technologies and build processes supporting data transformation, data structures, metadata, dependency and workload management. Graduate in Computer Science, Informatics, Information Systems or other quantitative field Data Engineering Certification from GCP/Cloudera/Horton works Job Description Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Lead a team of Data Engineers with work load management and mentor the team on technical challenges Problem solver with excellent interpersonal skills with ability to make sound complex decisions in a fast-paced, technical environment Support to build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP ‘big data’ technologies Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Create data engineering tools for faster data transformation and data lake loading Identify the challenges faced in DLL and propose & Implement solution Skills/Tools/Techniques Hands on proficiency with big data tools: Hadoop, Hive, Spark & Scala Experience in GCP cloud services: Google cloud storage, Big query, Spanner, Cloud Pub/Sub, stackdriver & Composer Experience in CI/CD using GitlabEE Experience with data pipeline and workflow management tools: Oozie, Airflow, etc. Show more Show less

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