Senior Data Engineer

Create, test, and implement enterprise-level apps with Snowflake, ADF, ADB, ADL etc

Design and implement features for identity and access management

Create authorization frameworks for better access control

Solve performance issues and scalability issues in the system

Transaction management with distributed data processing algorithms

Possess ownership right from start to finish

Build, monitor, and optimize ETL and ELT processes with data models

Migrate solutions from on-premises setup to cloud-based platforms

Understand and implement the latest delivery approaches based on data architecture

Project documentation and tracking based on understanding user requirements

Perform data integration with third-party tools including architecting, designing, coding, and testing phases

Manage documentation of data models, architecture, and maintenance processes

Continually review and audit data models for enhancement

Maintenance of ideal data pipeline based on ETL tools.

Coordination with BI experts and analysts for customized data models and integration

Code updates, new code development, and reverse engineering

Performance tuning, user acceptance training, and application support

Maintain confidentiality of data

Risk assessment, management, and mitigation plans

Regular engagement with teams for status reporting and routine activities

Migration activities from one database to another or on-premises to cloud