As business, government and communities become more data driven in their decision making and business operations, demand on the new and innovative AI and Analytics related capabilities are exponentially growing. As Data Engineer in Luminous you will be responsible for end-to-end delivery of Data Engineering related projects to help fulfill business needs. You will help transforming data into tangible business value.
Qualification/ Personal Attributes
Qualification
• Bachelors / Master’s degree in Computer Science or equivalent
Experience
• 0-4 years of relevant experience in Data Engineering/Data Science/Data Mining/Data Analysis
• Have understanding & experience in applying traditional statistical, machine learning, deep learning, to address business problems
• Experience of building and deploying Predictive Models (with Azure Cloud services)
will be an added advantage
• Experience in developing visualization, dashboards & report using Power BI (or, Grafana)
• Experience with Azure Cloud service
• Dataset Design, Data Aggregation, Data Cleansing & Data Profiling ability
• Experience in ETL and OLAP Cubes
• Have handled large volume of data independently
• Power BI Cluster Management & Performance tuning
• Experience in Data Migration
• Creating KPIs and Map based reports
• Optimizing report performance
• Solid experience in coding using Python and R
• Strong experience in SQL and its advanced functionalities (joins, nested queries & procedures)
• Hands on experience in DAX queries
• Experience in Agile development methodologies
• Power/Energy/Solar Domain experience will be an added advantage
Skills & Attributes
• An avid interest in learning about the latest trends, technologies, and a desire to set up Data Processin