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Senior Data Engineer

Company: The Viswa Group
Employment Type: Contract | Part-Time | Work from Office
Experience Required: 5+ Years

About the Opportunity

• Build practical intelligence dashboards that help clients make data-driven decisions.
• Deliver solutions for discrepancy detection and operational issue identification.
• Provide automated quality alerts to improve data accuracy and reliability.
• Develop vendor performance scorecards and reporting insights.
• Enable live operational visibility through real-time dashboards and analytics.
• Work on scalable data solutions that have already been successfully piloted with clients.
• Contribute to expanding these solutions across a growing client base and new business opportunities.
• Play a key role in transforming operational data into actionable business intelligence.
• Collaborate in a fast-growing environment focused on automation, analytics, and operational excellence.

Key Responsibilities

• Own and manage the end-to-end automated data pipeline from laboratory and billing systems to PostgreSQL (Supabase).
• Design, develop, and maintain data ingestion frameworks.
• Build robust data validation and quality-check mechanisms.
• Implement monitoring, alerting, and error-reporting systems.
• Ensure pipelines run reliably with minimal manual intervention.
• Proactively identify, troubleshoot, and resolve pipeline issues.
• Manage Excel and CSV-based data ingestion processes.
• Support future recurring and automated data feeds.
• Optimize data workflows for performance, scalability, and reliability.
• Collaborate with stakeholders to understand business and reporting requirements.

Must-Have Qualifications

• 5+ years of experience delivering production-grade software solutions.
• Strong expertise in Python.
• Strong hands-on experience with PostgreSQL.
• Experience building and operating unattended production systems or automated data pipelines.
• Proven ability to develop reliable ETL/ELT workflows.
• Ability to demonstrate a live project or solution you have built.
• Strong problem-solving and debugging skills.
• Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.

Education

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field

Nice-to-Have Qualifications

• Experience with Supabase.
• Knowledge of PostgreSQL Row-Level Security (RLS).
• Experience handling complex or messy operational data.
• Exposure to regulated industries such as healthcare, diagnostics, finance, or compliance-driven environments.
• Proficiency with AI-assisted coding tools, including:
• Claude Code
• Cursor
• GitHub Copilot

Required Technical Skills

• Python
• PostgreSQL
• ETL/ELT Development
• Data Validation
• Data Quality Frameworks
• Monitoring & Alerting
• CSV/Excel Data Processing
• Data Pipeline Automation
• Error Handling & Logging
• API Integrations

Preferred Candidate Profile

• Self-driven and capable of working independently.
• Strong ownership mindset and attention to detail.
• Passionate about building scalable and reliable data systems.
• Comfortable working in a fast-paced environment and supporting business-critical operations.

Pay: ₹300,000.00 - ₹800,000.00 per year

Benefits:

• Flexible schedule
• Health insurance
• Paid sick time
• Paid time off

Education:

• Bachelor's (Required)

Experience:

• AI Data Engineer: 5 years (Required)

Language:

• English (Required)

Work Location: In person