SarvaGram is building India’s first household centric, data led ‘high-tech high-touch’ FinTech platform to meet the growing aspirations of rural India, with a bouquet of financial and productivity enhancing offerings.
We achieve this by offering a suite of customized financial and capacity-building products designed to meet the unique requirements of rural households.
From loans and insurance solutions to innovative services like Farming-as-a-Service (FaaS), we equip rural communities with the tools they need to prosper.
Key Responsibilities
Data Ingestion & Pipeline Engineering
• Design and build reliable, scalable data pipelines ingesting from PostgreSQL, MySQL, MongoDB, Apache Kafka, and AWS SQS into Snowflake.
• Implement CDC (Change Data Capture) patterns for near-real-time ingestion from transactional Aurora (PostgreSQL and MySQL) databases.
• Build and maintain ELT pipelines using Python and dbt, ensuring data quality, lineage, and observability at every stage.
• Handle schema evolution gracefully across heterogeneous source systems without breaking downstream consumers.
Data Modelling & Warehouse Design
• Design dimensional models, data vault structures, or medallion architecture layers (bronze/silver/gold) in Snowflake suited to SarvaGram's lending, collections, and field operations domains.
• Own the Snowflake warehouse — clustering keys, micro-partition strategy, materialized views, dynamic tables, and cost governance.
• Define and enforce data modelling standards, naming conventions, and documentation practices across all datasets.
Snowflake Administration
• Manage Snowflake account administration — user and role management, RBAC configuration, resource monitors, and virtual warehouse sizing.
• Monitor and govern Snowflake credit consumption — identify expensive queries, configure auto-suspend/auto-resume policies, and right-size virtual warehouses for different workload types.
• Maintain Snowflake security posture — network policies, data masking policies, row access policies, and column-level security for PII fields.
• Manage Snowflake storage — database, schema, and table lifecycle policies, time travel configuration, and Fail-safe awareness.
• Drive Snowflake feature adoption (e.g. dynamic tables, Snowpark) and stay current with platform capabilities relevant to SarvaGram's data stack.
Analytics Layer & Trino
• Maintain and optimise the Trino query layer over Snowflake and other data stores, ensuring performant and cost-efficient analytical queries.
• Collaborate with product and business teams to design semantic layers, aggregated marts, and self-serve datasets for reporting and dashboards.
• Partner with the analytics/BI function to ensure Grafana, Metabase, or equivalent dashboards are backed by well-structured, tested data models.
Data Quality & Observability
• Implement data quality checks, anomaly detection, and freshness SLAs across all critical datasets.
• Build alerting and monitoring for pipeline failures, schema drift, and data volume anomalies.
• Maintain data cataloguing and lineage documentation so that any dataset consumed by product or business is traceable to its source.
Cross-functional Collaboration
• Work closely with backend engineers to understand source system schemas, event structures, and data contracts as new product features are built.
• Translate analytical and reporting requirements from product managers and business stakeholders into well-scoped data engineering deliverables.
• Participate in data governance discussions, especially around PII handling, DPDP compliance, and RBI audit data requirements.
Requirements
Must-Have
• 3 to 5 years of hands-on data engineering experience.
• SnowPro Core Certification
• Demonstrable production experience with Snowflake not just familiarity.
• Hands-on Snowflake administration experience — RBAC, resource monitors, virtual warehouse management, and credit governance.
• Working knowledge of Snowflake security features — data masking policies, row access policies, and network policies.
• Strong experience building ELT/ETL pipelines from relational (PostgreSQL, MySQL) and NoSQL (MongoDB) sources.
• Hands-on experience consuming from event streaming systems — Kafka and/or AWS SQS — into a data warehouse.
• Proficiency in Python for data pipeline development and orchestration.
• Experience with Apache Airflow for pipeline orchestration and scheduling.
• Strong understanding of data warehouse design — star schema, dimensional modelling, or medallion/data vault approaches.
• Experience with dbt (data build tool) for transformation, testing, and documentation.
• Advanced SQL skills — window functions, CTEs, query optimisation, execution plan analysis.
• Ability to work directly with non-technical stakeholders — product managers, business analysts, and operations teams — and translate their requirements into data engineering deliverables.
• Strong documentation skills — data dictionaries, pipeline runbooks, model documentation.
Good to Have
• SnowPro Advanced certification (Data Engineer or Architect track).
• Experience with CDC tools such as Debezium or AWS DMS.
• Experience with Trino as a distributed query engine.
• Familiarity with data quality frameworks — Great Expectations, Soda, or dbt tests.
• Exposure to data cataloguing tools — Apache Atlas, Amundsen, or Collibra.
• Understanding of PII masking, data anonymisation, and compliance obligations under DPDP Act and RBI data guidelines.
• Experience in fintech, lending, insurance, or any regulated financial domain.
• Hands-on with AWS services — S3, Lambda, SQS — in a data engineering context.
• Basic familiarity with infrastructure-as-code (Terraform) for data infrastructure.
Who You Are
• A data platform owner who takes pride in reliability, model quality, and data that stakeholders can trust.
• Someone who can sit in a business review and understand what the numbers need to say, then go build the pipeline that produces them correctly.
• Comfortable working across engineering, product, and business — translating between technical constraints and analytical requirements.
• Someone who treats documentation and data contracts as first-class engineering deliverables, not afterthoughts.
• Curious about the fintech and rural finance domain — motivated by the idea that well-engineered data directly influences credit decisions for underserved households.
Preferred Qualification
• Bachelor's or Master's in Computer Science, Engineering, Statistics, or a related quantitative field.
Benefits
SarvaGram is on a mission to revolutionize financial services for millions in rural India. We're building the nation's first data-driven platform that combines cutting-edge technology with a human touch to unlock financial possibilities for underserved households.
This is your chance to be at the forefront of innovation. Join us and:
• Shape the future of FinTech: We're not just building a product, we're creating a new category. Be a part of defining the future of financial inclusion for rural India.
• Embrace a high-growth, high-impact environment: This is a non-linear growth opportunity. Build a platform used by millions and witness the network effect drive massive scale.
• Tackle real-world challenges: Apply your skills to solve critical problems and directly empower rural communities.
• Craft solutions that touch lives: Develop innovative products used by diverse household members, each with unique needs.
