Overview:
Currently the data engineering track for Foundation team in India is led by a senior consultant. The role primarily entails building architectures/designs for new features/enhancements, overseeing the work of other members of the team including but not limited to code and test reviews, guiding members when they get stuck, training them on newer things, helping with release and deployment, adhering to security standards, suggesting automation and process improvements etc. while keeping himself up to speed on the continuously changing technology landscape for data engineering. Responsibilities:
Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products. ,Build and own the automation and monitoring frameworks that capture metrics and operational KPIs for data pipeline quality and performance. ,Responsible for adopting best practices around systems integration, security, performance, and data management defined within the organization. ,Empower the business by creating value through the increased adoption of data, data science, and business intelligence landscape. ,Collaborate with internal clients (data science and product teams) to drive solutions and POC discussions. ,Develop and optimize procedures to productionalize data engineering pipelines. Qualifications:
Bachelors in computer science engineering or related field '
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