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About the role
Architecture and design of the Data Engineering components of Dartmouth suite Improve current Database and Data Warehouse design Ensure solutions meet stability concerns for ongoing performance, maintenance, and support Develop strategies for Data Acquisition, Archiving and Governance Own the responsibility of the performance of the queries Code and develop key components Review code of the Data Engineering team members Develop, upskill, organize, and coach internal existing talents in the Data Engineering team Assist team with upskilling on technology and data architecture practices Who you are: At least 8 years of total experience with a minimum of 4 years in : Hands-on experience of programming in Python language Proficiency in SQL is must Big data (Hadoop, Hive, Spark) Messaging backplane (Kafka) Data-pipeline & scheduler tool (Airflow, Nifi) Streaming engines (Kafka, Spark Streaming) Any Relational database or DW experience ETL tool experience (Google Data Fusion or any other tool) Hands-on experience in Data Analysis, Data Modeling, Data Integration, Data Warehousing, Database Design , Data Pipeline Design Experience with database performance evaluation and remediation Develops strategies for data acquisitions, archive recovery and implementation Ability to develop database strategies for flexible high-performance reporting and business intelligence Experience in GCP cloud platform. Good communication skills and strong analytical skills Experience in team handling and project delivery
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