GCP Data Engineer

Role - GCP Data Engineer (Visualization experience) 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. Role and Responsibilities: - 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. Candidate Profile: Required Qualification and Skills: - Expert in DASH Enterprise in developing friendly UI and strong story telling 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 - Strong Python/Pyspark Data Engineer Skills - 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. - Strong SQL ETL skills - GCP data engineer certified to be preferred. - Ability to understand and design the underlying data/schema - Strong communication skills to effectively communicate client updates. Originally posted on Himalayas