Develop, implement, and maintain databases, data systems reorganizing data in a readable format.
Develop automation on data management.
Automate and develop data solutions for existing processes using integrated tools.
Applies data extraction, transformation and loading techniques to connect large data sets from a variety of sources.
Responsible for collecting and processing structured and unstructured data.
Analyzing and monitoring data integrity for accurate data analysis.
Troubleshoot issues with reports and partner with relevant teams to resolve data and technical issues.
Interpret data, analyze results using statistical techniques and provide ongoing reports.
Ability to effectively convey complex concepts and approaches to non-data experts.
Respond to data requests from business to identify and understand the information needed, extracting the data efficiently from data sources across multiple platforms and providing data back to the requestor in a user-friendly display.
Job Requirements:-
Bachelor's degree holder/ college graduate, any course.
Minimum of 2 years working experience as Data Engineer role with Azure, Databricks.
Knowledge of programming languages in Python, Spark.
Experience with large data sets, knowledge of both structured and unstructured data and associated reporting platforms.
Strong analytical, structured and interdisciplinary way of thinking and working.
Familiar with PowerBI, Microsoft Office products, SSIS/SSRS and SQL query scripts.
