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Tech Stack
Tools & technologiesApacheAWSAzureCloudETLGoogle Cloud PlatformPostgresPythonSQLTerraform
About the role
Key responsibilities & impact- Design and deliver scalable data pipelines and data solutions using Snowflake, Snowflake Openflow (Apache NiFi), and dbt
- Translate business and data requirements into technical designs, data flows, integration patterns, data models, and delivery plans
- Build and maintain ingestion and orchestration flows in Openflow, dbt transformation models, and performant Snowflake workloads
- Design reusable batch, change-data-capture, API, and file-based ingestion patterns with validation, reconciliation, restartability, and recovery
- Develop advanced SQL and Python solutions through code reviews, troubleshooting, performance tuning, and complex issue resolution
- Ensure data solutions meet data quality, security, scalability, maintainability, observability, and cost-efficiency expectations
- Collaborate with architecture, analytics, platform, security, application, and business teams
- Maintain technical documentation and reusable engineering patterns and standards
- Lead Data Operations support and coordinate priorities, handoffs, and issue resolution across India-based data colleagues
- Establish engineering practices for source control, peer review, testing, CI/CD, deployment, documentation, and production readiness
- Mentor colleagues through design and code reviews and promote cross-training
- Own and mature Data Operations, including support coverage, incident response, escalation paths, runbooks, recovery procedures, and service expectations
- Drive automated monitoring, alerting, and recovery across data platforms and pipeline workloads
- Track service health and incident trends, lead root-cause analysis, and improve reliability and operational efficiency
Requirements
What you’ll need- Bachelor's degree in computer science, engineering, information systems, or an equivalent combination of education and relevant experience
- 10+ years of hands-on data engineering experience, including at least 2 years leading technical delivery or production operations
- Strong production experience with cloud data technologies in Snowflake, AWS, Azure, or GCP
- Experience with solution design, data structures, performance tuning, workload management, security, and cost optimization
- Strong hands-on experience with dbt, including model design, testing, documentation, dependencies, reusable macros, and deployment across environments
- Experience with Git-based development, automated testing, CI/CD, Terraform, and repeatable environment-promotion practices
- Advanced SQL skills and experience building maintainable, testable production data pipelines and data products
- Experience designing ETL/ELT solutions across batch, CDC, API, and file-based ingestion
- Experience applying data modeling, quality, validation, and recovery practices
- Strong solution-design, communication, and technical-leadership skills
- Ability to guide decisions, mentor engineers, and work across business and technology teams
- Nice to have: Snowflake and AWS production experience
- Nice to have: Apache NiFi or Snowflake Openflow experience
- Nice to have: relational database experience with RDS and PostgreSQL
- Nice to have: financial services or regulated-environment experience
- Nice to have: automated observability, data-quality, metadata, lineage, or data-catalog tools
- Nice to have: certification in Snowflake, dbt, Apache NiFi, AWS, or data management
Benefits
Comp & perks- Comprehensive medical coverage for employee, spouse, two children, and two parents
- ₹6 lakhs annual medical coverage
- Optional ₹5 lakhs medical top-up with monthly deduction
- Employer Provident Fund contribution of ₹1,800 per month
- Annual performance-based bonus of up to 5% of base salary
- Bucketlist point-based rewards redeemable for gift cards, experiences, and personalized perks
- Recognition of milestones, achievements, and impact
- Currently remote work model, with a future transition to hybrid
- 15 annual leaves
- 6 casual leaves
- 12 sick leaves
- Upskilling programs, mentorship, and professional development resources
- Internal mobility programs
- Support for leadership development, industry certifications, and specialized training
- Collaboration with global teams and exposure to international best practices