Aws

Key Responsibilities –
Understand business requirements and existing system designs, estimations
Ability to explain data lake architecture using AWS services
Data modelling & analysis, data migration strategy, cleanse and migrate large master data sets, data alignment across multiple applications, data governance.

Design, build and operationalize data solutions and applications using one or more of AWS data and analytics services
Assist in making technology choices and decisions and modelling in an enterprise architecture
Work independently and with the team to develop new data mastering processes to drive data quality – Operations
Data acquisition and ingestion: Engineer collection and ingestion of new data sources into mastering environment - Lead architecture and design decisions.

Work with various SMEs in understanding business process flows, functional requirements specifications of existing system, their current challenges and constraints and future expectation
Drive engineering best practices and mentoring junior engineers 100%
Oversees the development, implementation , guide team throughout and ensure timely and quality deliverables.

troubleshooting any potential issues
Manage Customer expectations , align on delivery timelines with customer.

Essential Skills:
Data Warehousing, AWS Data pipeline, Data Modelling, SQL, Python, Unix/Linux