Senior Software Engineer, Data Platform

Maropost

Senior Software Engineer building scalable data platforms for analytics and machine learning at Maropost. Collaborating across teams to deliver solutions with minimal dependencies.

Posted 6/20/2026full-timeRemote • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudDistributed SystemsGoGoogle Cloud PlatformKafkaPostgresPulsarPythonSQLTerraform

About the role

Key responsibilities & impact

Design and build scalable data platform services that power analytics, reporting, machine learning, and AI workloads across Maropost products.
Build and maintain reliable data ingestion pipelines using CDC and event-driven architectures.
Develop and evolve our centralized analytics warehouse, ensuring high performance, scalability, and maintainability.
Design and implement data models, materialized views, and aggregation strategies to support product analytics and business reporting.
Build supporting APIs and services that expose analytics and reporting capabilities to internal and external consumers.
Define and implement multi-tenant security controls, data governance standards, and access management policies.
Monitor platform health, data freshness, ingestion lag, and overall system reliability.
Contribute to technical specifications and actively participate in architecture and design discussions.
Improve developer productivity through automation, tooling, observability, and operational excellence.
Strengthen test coverage and engineering practices to ensure reliable and maintainable systems.

Requirements

What you’ll need

5+ years of hands-on software engineering experience building and operating highly scalable distributed systems, data platforms, or backend services in production.
Strong experience with modern analytical data warehouses such as ClickHouse, BigQuery, Snowflake, or Amazon Redshift.
Deep expertise in ClickHouse, including internals, materialized views, and OLAP workload optimization, is a plus.
Experience designing and operating large-scale data ingestion pipelines using Kafka, Pulsar, CDC-based architectures, and related streaming technologies.
Familiarity with tools such as Debezium, Flink, Dataflow, or similar streaming and data processing frameworks is preferred.
Strong SQL skills with hands-on experience in data modelling, query optimization, and analytical workloads.
Experience working on data platforms, data engineering, or analytics engineering initiatives involving large-scale data processing and transformation workloads.
Experience building and maintaining backend services in Go (preferred) or another modern strongly typed programming language, along with proficiency in Python.
Experience with cloud platforms, preferably GCP, including managed data, messaging, and observability services.
Experience owning and delivering production systems end-to-end, from technical design and stakeholder discussions through deployment, operational support, and iterative improvements across multiple release cycles.
Experience with multi-tenant SaaS platforms, data governance practices, data security controls, and infrastructure-as-code tools such as Terraform.
Experience with analytical and time-series databases such as PostgreSQL, TimescaleDB, or similar technologies.
Exposure to AI-powered applications, LLM integrations, or agentic workflows is an added advantage.
Comfortable participating in on-call rotations and focused on building simple, efficient solutions without over-engineering.
Proactive and self-driven, with strong problem-solving and communication skills, and the ability to collaborate effectively with both technical and non-technical stakeholders.

Benefits

Comp & perks

Competitive salary
Flexible working hours
Professional development opportunities

ATS Keywords

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Hard Skills & Tools

data platform servicesdata ingestion pipelinesanalytics warehousedata modelsmaterialized viewsSQLGoPythondata processing frameworkscloud platforms

Soft Skills

problem-solvingcommunicationcollaborationproactiveself-driven