Company Description
PragMath is a boutique analytics consulting firm headquartered in Gurgaon, India, specializing in data management, business intelligence, and advanced analytics. We collaborate with clients to promote data-driven decision-making, helping them unlock a competitive advantage through their data. Our teams, led by experienced data engineers and scientists, prioritize business objectives and outcomes to deliver tailored, effective solutions. PragMath has a proven track record across industries such as retail, e-commerce, life sciences, and services.
The Role
We are hiring aSenior Data Engineerto own and scale modern data pipelines and analytics infrastructure for our clients. This is a foundational, hands-on role where your work directly impacts data reliability, trust, and the ability of analytics and ML teams to move quickly and confidently. Deep experience building and operating production-grade data platforms end to end is critical.
What You'll Do
- Own end-to-end reliability of data ingestion pipelines, with a strong focus on CDC-based ingestion and schema evolution
- Build, operate, and optimize analytics pipelines on AWS Athena backed by S3, ensuring performance and cost efficiency at scale
- Design, deploy, and maintain production-grade dbt Core projects including transformation models, data quality tests, CI/CD integration, and incremental and full-refresh strategies
- Establish production-grade data governance and observability, including pipeline health monitoring, dbt run visibility, and alerting for failures, delays, and data quality issues
- Own and improve data platform CI/CD workflows to reduce build times and developer friction
- Implement and maintain data infrastructure as code using AWS CDK, with TypeScript preferred and Python acceptable with willingness to learn TypeScript
- Design reusable ingestion and transformation patterns to onboard new data sources efficiently
- Collaborate closely with analytics, product, and platform teams to align data infrastructure with business requirements
- Enable downstream advanced analytics and ML workloads by providing stable, well-governed data foundations
Who You Are
- A senior, hands-on data engineer who has owned production data platforms end to end, not just individual components
- Deep, battle-tested expertise in AWS Athena and dbt, including performance tuning, cost trade-offs, schema drift, and CI/CD challenges
- You think in systems and failure modes, proactively anticipating data quality issues and operational bottlenecks
- Comfortable acting as the single-threaded owner of critical data infrastructure with a strong bias toward reliability and automation
- You write infrastructure as code with a platform engineering mindset, prioritizing clarity, reusability, and safe change management using AWS CDK
- Able to balance pragmatism with standards, knowing when to move fast and when to introduce guardrails
- Clear communicator who can translate infrastructure constraints into actionable decisions for analytics, product, and platform stakeholders
- Motivated by impact and leverage, enabling analysts, data scientists, and business teams to move faster with confidence
Nice to Have
- Experience with Amazon DMS and CDC-based ingestion patterns
- Strong observability practices including pipeline metrics, alerts, and dashboards
- Experience optimizing dbt build performance and data CI/CD pipelines
- Exposure to ML or advanced analytics platforms such as SageMaker, Hex, or Jupyter-based environments
- Experience implementing fine-grained access controls and data security patterns in AWS
- Background in scaling analytics platforms in high-growth or data-intensive environments
Expected Compensation
10 18 lakhs per annum, depending on experience, skill depth, and role fit
