Data Engineer

Roles and Responsibilities:

• Assembling large, complex sets of data that meet non-functional and functional business requirements.
• Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.
• Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
• Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues.

Skills Required:

• Must have 3 or more years of experience in Data Engineering, ETL Development
• ETL DW Concepts - AWS (S3, Glue, Lamda, Athena, Step Function)
• Build data pipeline using Python, PySpark, SparkSQL
• Must have good understanding of MongoDB, DynamoDB, S3
• Deliver business solution on Company's analytics platform through end-to-end implementation that includes data security, governance, cataloging, preparation, automated testing, and data quality metrics.
• Automate, optimize, migrate and enhance existing solutions.
• Adopt AWS data lake and data related services to implement end-to-end solution
• Perform data modeling, data analysis and providing insights using various tools.