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

Data Architect

Job Description