Description

Requirements : • Strong Hands-on experience in implementing Data Lake with technologies like – Azure Data Factory (ADF), Azure Synapse, ADLS, Databricks, Azure Synapse Analytics, SQL Database, Power BI, Azure ML, Azure Databricks • Strong programming & debugging skills either in SQL, Python and Scala/Java. Experience in building REST services is good to have. • Experience in supporting Data Science teams in consuming the data in a secure and governed manner. • Experience deploying Machine Learning solutions into production commercial environments. • Good, understand, and Experience of using CI/CD with Git, Jenkins / Azure DevOps. Understanding of branching strategies, pull requests, and code reviews. • Experience in setting up cloud-computing infrastructure solutions (in Dev Environment).s into technical specifications and decide timeline to accomplish. • Create dashboards and interactive visual reports using Power BI • Identify key performance indicators (KPIs) with clear objectives and consistently monitor them. • Analyzing data and present data through reports that aid decision-making • Create relationships between data and develop tabular and other multidimensional data models. • Chart creation and data documentation explaining algorithms, parameters, models, and relations. • Design, develop, test, and deploy Power BI scripts and perform detailed analytics. • Perform DAX queries and functions in Power BI • Analyze current ETL process, define and design new systems. • Redefine and make technical/strategic changes to enhance existing Business Intelligence systems. • Create customize charts and custom calculations as per requirements. • SQL querying for best results, use of filters and graphs for better understanding of data • Work with users and team members at all levels for performance improvement and suggestions

Key Skills

Education

Any Graduate