Role: Senior Data Engineer
Experience Level: 5+ years
Employment type:Full Time
Location:Remote (USA)
Basic Qualifications (BQ):
- Hands-on experience in building and maintaining scalable and cost-effective data pipelines, data warehouses and data lake using AWS S3, AWS Glue/Amazon EMR, AWS Lambda to ingest data from various sources (e.g., APIs, databases, flat files, etc.).
- Expertise in implementing data modeling and data warehousing concepts to create a well-structured analytical layer on top of the data lake, optimized for querying with AWS Redshift and AWS Athena.
- Proficiency in SQL (complex joins, window functions, query optimization) and strong programming skills in Python/PySpark for data processing and automation.
- Ensure data quality, integrity, and reliability by implementing robust monitoring, alerting, and validation frameworks for all data pipelines.
- Solid understanding of data modeling concepts (e.g., star/snowflake schemas, SCD) and data warehousing principles.
- Hands-on experience with Amazon QuickSight, with a strong understanding of the latest features and capabilities.
- Ability to understand business requirements and translate them into scalable dashboards, including KPIs, tooltips, user interactions, dashboard navigation, personas, access management, and reporting requirements.
- Strong experience in:
- SPICE optimization
- Direct Query
- Data blending
- Custom visual creation
- Calculated fields and parameters
- Experience implementing Row-Level Security (RLS) and other security controls within QuickSight.
- Ability to independently design, develop, test, and deploy production-grade QuickSight dashboards.
- Validate dashboard functionality, KPI calculations, and data accuracy against business requirements.
- Experience documenting dashboard design, implementation, testing, validations, and deployment activities.
- Ability to optimize queries, datasets, and visualizations for performance and scalability.
- Experience developing and maintaining datasets and data models for Amazon QuickSight and other BI platforms.
- Ability to gather reporting requirements from business stakeholders and convert them into meaningful dashboards and visualizations.
- Strong verbal and written communication skills with the ability to communicate effectively with both business and technical teams.
Other Qualifications (OQ):
- Experience with workflow orchestration tools like AWS Step Functions or Apache Airflow.
- Experience managing QuickSight assets, including publishing dashboards, scheduling refreshes, user administration, and access management.
- Experience with Tableau or Power BI.
- Proven experience migrating dashboards and reports from BI platforms such as Qlik, Tableau, or Power BI to Amazon QuickSight.
- Experience monitoring and supporting analytics solutions in AWS environments.
What is in it for you:
- Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
- Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
- Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
- Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
