Granicus India ยท 4 days ago
Senior Data Engineer
United States
Full-time
Remote
Mid, Senior Level
4+ years expGranicus is a company focused on transforming the Govtech industry through innovative technology solutions. The Senior Data Engineer will be responsible for designing, developing, and operationalizing data analysis and visualizations, while making key architectural decisions about the data stack and ensuring robust ETL processes.
Computer Software
Responsibilities
Design, implement, and optimize data solutions leveraging AWS services (Lambda, Glue, S3, Redshift, Step Functions, Kinesis) for seamless data ingestion, transformation, storage, and real-time processing
Develop robust ETL processes, ensuring accurate and timely data movement across platforms
Design and implement real-time streaming solutions to handle high-velocity data flows for timely insights
Employ Python and Pandas for advanced data cleaning, manipulation, and analysis
Architect and maintain optimized data warehouses and data lakes, along with designing and implementing effective data models for efficient querying and analysis
Proactively tune query performance and data models to deliver fast and reliable data access
Consistently design, develop, and operationalize data analysis and visualizations for the Granicus platform and internal reporting that is well-tested and stable
Make key architectural decisions about the development of the Granicus data stack
Write concise, legible, and maintainable code in support of data analysis and reporting
Debug production issues across the data ecosystem
Collaborate effectively in a remote team setting, communicating proactively and demonstrating a strong sense of ownership
Qualification
Required
4+ years of experience in designing, implementing, and providing production support for highly reliable and scalable data systems, ideally with some of that experience at an early-stage startup
Expert level experience in SQL and data lake architectures
Strong working knowledge and experience developing in SQL, Typescript, and Python
3+ years of experience maintaining and developing data visualizations and reporting in Snowflake, including cost management and performance tuning
A desire to craft great data analysis and reports that meet our customers' and internal business needs
The ability to work collaboratively in a remote team setting by communicating proactively and demonstrating a strong sense of ownership
The ability to show empathy towards your coworkers and our customers
AWS Expertise: Design, implement, and optimize data solutions leveraging AWS services (Lambda, Glue, S3, Redshift, Step Functions, Kinesis) for seamless data ingestion, transformation, storage, and real-time processing
Data Pipelines and ETL: Develop robust ETL processes, ensuring accurate and timely data movement across platforms
Stream Processing: Design and implement real-time streaming solutions to handle high-velocity data flows for timely insights
Python and Pandas Mastery: Employ Python and Pandas for advanced data cleaning, manipulation, and analysis
Data Warehousing and Modeling: Architect and maintain optimized data warehouses and data lakes, along with designing and implementing effective data models for efficient querying and analysis
Query Optimization: Proactively tune query performance and data models to deliver fast and reliable data access
Consistently design, develop, and operationalize data analysis and visualizations for the Granicus platform and internal reporting that is well-tested and stable
Make key architectural decisions about the development of the Granicus data stack
Write concise, legible, and maintainable code in support of data analysis and reporting
Debug production issues across the data ecosystem
Collaborate effectively in a remote team setting, communicating proactively and demonstrating a strong sense of ownership
Company
Granicus India
1001-5000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase