GCP Data Engineer

As a Data Engineer you will work on process of transforming raw data to a usable format, which is then further analyzed by other teams. Cleansing, organizing, and manipulating data using pipelines are some of the key responsibilities of a data engineer. You will also work on applying data engineering principles on the Google Cloud Platform to optimize its services. And create interactive dashboards/reports to present it to the stakeholders.

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re‑designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and other data sources
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
• Design intuitive and visually appearing visualizations to communicate complex data insights to users using Tableau, Streamlit, Dash Enterprise and Power BI
• Use Flask to develop APIs that integrate data from various sources and facilitate automation of business processes
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data‑related technical issues and support their data infrastructure needs

• Expert in Dash Enterprise in developing friendly UI and strong storytelling experience
• Ability to conduct real‑time data exploration, predictive modeling integration and a seamless deployment of machine learning modules to GCP
• Overall, 5‑8 years of experience on ETL technologies
• 3+ years of experience in data engineering technologies like SQL, Hadoop, Big Query, Dataproc, Composer
• Hands‑on experience with data visualizations like Tableau, Power BI, Dash and Streamlit
• Experience in building interactive dashboards, visualizations, and custom reports for business users
• Knowledge of Flask for developing APIs and automating data workflows
• Experience in data automation and implemented workflows in a cloud environment
• GCP data engineer certified to be preferred
• Ability to understand and design the underlying data/schema
• Strong communication skills to effectively communicate client updates