About the role
We are excited to invite passionate individuals to join our team, where you will embark on a rewarding career journey filled with growth, support, and the opportunity to make a meaningful impact on our members and the community we serve. Our core values—authenticity, boldness, collaboration, dignity, and empathy—guide everything we do and foster an inclusive culture that prioritizes teamwork and innovation.
Job Overview:
Provides technical expertise in designing and implementing data solutions that drive innovation. Champions best practices and leverages emerging data engineering technologies across the organization. Ensures data solutions deliver tangible business value, supports enterprise initiatives, fosters a culture of continuous learning, and mentors other data engineers.
What you’ll do:
Designs, implements, and maintains scalable data pipelines using modern tools like Azure Data Factory.
Automates and orchestrates complex data workflows, ensuring reliability and fault tolerance.
Implements change data capture and master data management mechanisms for efficient data replication and synchronization.
Leverages streaming technologies for real-time data processing.
Administers and optimize databases to ensure high performance, availability, and data integrity.
Monitors and tunes database performance, including indexing, query optimization, and caching.
Implements data validation and cleansing pipelines using techniques like data profiling, constraint enforcement, and anomaly detection.
Develops data quality monitoring and alerting systems to ensure timely issue resolution.
Establishes data governance frameworks like Microsoft Purview and enforce data quality standards across the organization.
Collaborates with DevOps teams to establish CI/CD pipelines, infrastructure as code (Terraform, etc), and automated testing and deployment strategies for data pipelines.
Participates in the development and implementation of data governance policies, standards, and processes.
Ensures compliance with data privacy regulations and industry-specific standards.
Implements data security measures, such as encryption, access controls, and auditing mechanisms.
Mentors and provides guidance to junior data engineers, fostering their professional growth and skill development.
Contributes to knowledge-sharing initiatives by conducting training.
Develops and optimizes data pipelines for real-time data ingestion, processing, and analysis.
Leverages machine learning techniques for data quality monitoring, anomaly detection, and predictive maintenance.
All other duties as assigned.
Qualifications:
Bachelor's degree in information technology, computer/data science or a related field.
A minimum of nine (9) years of experience in Software Development with Databases with a minimum of three (3) years in Data Engineering.
