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Nasuni
Data Engineer - Python, Snowflake, Fivetran, Dbt, SaaS
Nasuni
Hyderabad•Hybrid•2-5 Yrs•Jul 6
Job description
Hybrid
Overview
Data Engineer - Nasuni Hyderabad - 3 Days onsite - Python, Snowflake, Fivetran, Dbt, SaaS
Responsibilities
- Build and maintain clearly scoped ELT pipelines into Snowflake following established team standards
- Develop dbt models using existing conventions for naming, testing, and documentation
- Troubleshoot pipeline failures by forming hypotheses, validating assumptions, and escalating with context
- Support ingestion from common SaaS systems (CRM, marketing, product analytics)
- Document pipeline behavior, assumptions, and known limitations
- Participate in code reviews with a focus on learning best practices
- Communicate progress, blockers, and questions proactively
- 2–3 years of experience in a data engineering or analytics engineering role
- Strong working knowledge of SQL
- Hands-on experience using Python for data pipelines or transformations
Qualifications
- Expertise in Fivetran as an ingest tool.
- Exposure to SaaS data sources (e.g., Salesforce, Jira, HubSpot, or similar)
- Can independently debug moderately complex pipeline failures with limited guidance
- Understands why modeling conventions and tests exist (not just how to implement them)
- Demonstrates ownership of small but complete data workflows
- Actively seeks feedback and applies it consistently
- Expected to increase independence over time, but not immediately own architecture or platform decisions
- Will receive mentorship from senior engineers and technical leadership
- Success is measured by learning speed, reliability, and quality of execution
- Not an entry-level or internship role, but a 2-3 year experience role.
- Not responsible for data architecture decisions or platform-wide ownership
- Not a purely analytics or reporting role
- Be part of a Vista-backed SaaS category leader accelerating its next wave of growth.
- Build enterprise-grade agentic automation that transforms how the business operates.
- Work with cutting-edge AI, automation, and integration technologies.
- Join a team where your ideas, your craftsmanship, and your ownership truly matter.
- Competitive compensation programs
- Flexible time off and leave policies
- Comprehensive health and wellness coverage
- Hybrid and flexible work arrangements
- Employee referral and recognition programs
- Professional development and learning support
- Inclusive, collaborative team culture
- Modern office spaces with team events and perks
- Retirement and statutory benefits as per Indian regulations
Nice to have
- Familiarity with common SaaS data challenges (schema changes, API limits, data quality issues)