To Apply for this Job Click Here
Data & Visualization: Snowflake, Domo, MongoDB, Dynamo
Cloud & Infrastructure: AWS (Kinesis, Lambda, S3, SQS, CDK)
Languages: Python, SQL
Integrations: SaaS APIs (e.g., Salesforce)
Development Practices: Agile, Git, CI/CD
Responsibilities:
Deliver high-quality data solutions on time and within scope, while meeting the highest quality standards.
Design, develop, and maintain secure, scalable ETL pipelines that process structured and unstructured data from various sources.
Build and optimize data models and processing workflows to support business intelligence, analytics, and reporting needs.
Develop monitoring and alerting solutions to ensure pipeline performance and data quality, with quick visibility into issues.
Collaborate closely with software engineering, architecture, product management, analytics, and IT teams.
Translate business requirements into robust technical solutions and provide input on feasibility, scalability, and design.
Conduct code reviews and provide thoughtful feedback to other members of the engineering team.
Contribute to the continuous improvement of data development processes through automation, tooling, and best practices.
Own the delivery and ongoing support of critical data flows and reporting systems.
Develop insightful dashboards, reports, and datasets in visualization tools like Domo.
Mentor other data engineers and contribute to onboarding efforts by teaching the approach to data development.
Participate in agile ceremonies including standups, retrospectives, and planning.
Escalate blockers or risks to appropriate leadership promptly.
DET48188_1751982699