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BillEase

Data Engineer

2-4 Years
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  • Posted 20 hours ago
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Job Description

Role Summary

Support data architecture, infrastructure, and reporting ecosystem. Ensure reliable data pipelines, optimize cloud performance, and deliver high-quality data to business stakeholders and BI tools. Leverage AI-supported automation to enhance data workflows, monitoring, and operational efficiency.

Infrastructure, Pipelines, & AI-Supported Automation

  • Maintain and optimize cloud-based data infrastructure
  • Build, monitor, and troubleshoot ETL pipelines
  • Ensure data pipeline reliability, quality, and timely delivery
  • Implement AI-supported automation for data workflows, anomaly detection, and pipeline monitoring
  • Automate alerting, incident detection, and root cause analysis using intelligent systems
  • Implement data governance, security, and access controls
  • Support infrastructure automation and CI/CD processes
  • Continuously identify opportunities to reduce manual work through AI and scripting

Reporting & Analytics Support

  • Design and maintain data models and reporting marts for BI tools
  • Support business reporting needs and ad-hoc data requests
  • Optimize query performance for dashboards and reports
  • Maintain data documentation, dictionaries, and lineage

Required Skills

  • SQL: Strong proficiency in Redshift/PostgreSQL, complex queries, performance tuning
  • AWS: Hands-on with data-related infrastructure
  • ETL/Orchestration: Experience with tools like Airflow, Kafka Connect
  • Python: Data processing, automation, scripting
  • AI-Supported Automation: Experience integrating AI/ML tools or services for automation, monitoring, or data quality (e.g., anomaly detection, predictive alerts)
  • Data Modeling: Star schema, dimensional modeling, data warehouse concepts
  • BI Tools: Experience supporting Power BI, Looker, Qlik Sense, or similar
  • Bachelor's degree in Computer Science, IT, Engineering, or related field
  • 2 to 4 years of experience in data engineering, infrastructure, or cloud operations
  • Financial services or fintech background preferred
  • Strong problem-solving and troubleshooting abilities
  • Nice to have: Exposure to ML frameworks, Docker, ClickHouse, MongoDB, Elasticsearch, data quality frameworks

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    About Company

    Job ID: 147309691

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