Data Engineer - Contract

September 20

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Qarik Group

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Google Cloud Migrations • Machine Learning • Kubernetes • Data Analytics • Google Cloud Platform

51 - 200

Description

• Guide the client through their data journey with a thorough knowledge of the GCP data product offerings and ecosystem. • Write Data Ingest and ETL integrations and code to make sure the ETL process performs optimally across streaming and batch modes (e.g. Apache Beam) • Write efficient and modular SQL to allow optimal querying of complex questions • Design, build and deliver visualization capabilities such as reporting and dashboarding via off-the-shelf systems as well as custom developed metrics visualization (e.g. with Looker) • Architect, create and manage technological infrastructure of a data platform • Evaluate business needs and objectives; generate ideas for data innovation to meet clients’ business goals; enable business leaders to do exploratory analytics

Requirements

• Effective communication, interpersonal and organizational skills • Self motivate/manage your own tasks and projects to agreed roadmap • Previous experience as a data engineer or in a similar role working with big data pipelines • Strong experience with Data Warehousing (e.g. BigQuery) and Transactional DBs (such as Spanner, AlloyDB, MySQL, Postgres, etc.) • Strong experience with visualization, reporting and analytics tools such as Looker and Tableau • Knowledge of other big data tools such as Hadoop, Flink, etc. a plus • Fluency in SQL or similar data manipulation syntax for relational databases • Technical expertise in some relevant programming language (e.g. SQL, python, R, java)