We are seeking a Senior Data Engineer to work directly with agencies, enabling them to reach their desired development delivery efficiency and system resiliency through optimized Continuous Integration/Continuous Deployment(CI/CD) and Site Reliability Engineering(SRE) practices.
Asa forward-deployed engineer, you’ll partner with agencies to solve complex challenges, gather insights, and drive continuous improvement in our product offerings. This role combines deep technical expertise with a commitment to customer enablement and feedback, ensuring that our Core Engineering Products evolve to address the real-world needs of our customers.
As a Senior Data Engineer, youwill be working on:
· Translate data requirements from business users into technical specifications.
· Collaborate with partner agency’s IT teams on technology stack, infrastructure and security alignment.
· Build out data product as part of a data team:
· Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.
· Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;
· Construct, test, and update useful and reusable data models based on data needs of end users.
· Design and build secure mechanisms for end users and systems to access data in data warehouse.
· Research, propose and develop new technologies and processes to improve agency data infrastructure.
· Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.
· Maintain data catalogue to document data assets, meta data and lineage.
· Implement data quality checks and validation processes to ensure data accuracy and consistency.
· Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data.
What we are looking for:
· A Bachelor’s Degree, preferably in Computer Science, Software Engineering, Information Technology, or related disciplines.
· Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.
· Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.
· Experience with Databricks.
· Experience in designing, building, and maintaining batch and real-time data pipelines.
· Experience with orchestration frameworks such as Airflow, Azure Data Factory.
· Proficiency in working with Python, Shell Scripts, and SQL.
Preferred requirements:
· Familiarity with building and using CI/CD pipelines.
· Familiarity with DevOps tools such as Docker, Git, Terraform.
· Experience with implementing technical processes to enforce data security, data quality, and data governance.
· Familiarity with government systems and government's policies relating to data governance, data management, data infrastructure, and data security.
· Experience in Climate and Weather domains will be an advantage.
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