Senior Business Analyst
EXL
full-time
Posted on:
Location Type: Hybrid
Location: Hartford • Connecticut • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
CloudETLGoogle Cloud PlatformJavaPythonScalaSQL
About the role
- Design, develop, and maintain scalable data pipelines and ETL/ELT processes for structured and unstructured data
- Build and optimize cloud-based data architectures, data lakes, and data warehouses (preference for GCP)
- Ingest data from diverse sources including APIs, databases, streaming platforms, and third-party systems
- Ensure data quality, reliability, performance, and scalability across data platforms
- Optimize data models for analytics, reporting, and machine learning use cases
- Collaborate with analytics, data science, and AI teams to support feature engineering and model deployment
- Implement monitoring, logging, and alerting to ensure pipeline health and performance
- Apply best practices for security, data governance, privacy, and access controls
- Document data pipelines, schemas, and architectural decisions to promote transparency and reusability
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent experience)
- Strong programming experience in SQL and at least one of Python, Java, or Scala
- Experience designing and building data pipelines and data platforms in a cloud environment
- Solid understanding of data warehousing concepts, dimensional modeling, and data optimization
- Experience working with large datasets and distributed data processing frameworks
- Familiarity with CI/CD, version control (Git), and infrastructure-as-code concepts
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ETLELTdata pipelinescloud-based data architecturesdata lakesdata warehousesSQLPythonJavaScala
Soft skills
collaborationcommunicationdocumentation