Senior Software Engineer, Data Engineer

🕒 July 13

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 29%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Maropost

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2011

💼 Consulting

📣 Marketing

📦 Logistics

💰 Secondary Market on 2022-04

Consulting • Marketing • Logistics

Maropost is a comprehensive commerce platform that offers integrated solutions for marketing, merchandising, and operations. It provides a suite of cloud-based products designed to streamline and enhance customer engagement, including Marketing Cloud for email, SMS, social media, and landing pages, and Service Cloud to unify customer support and ecommerce data. Maropost also offers solutions like Neto for managing multichannel ecommerce stores and Retail Express for cloud-based point-of-sale software. The platform enables businesses to connect their preferred apps and provides industry-specific solutions across multiple sectors such as ecommerce, media, B2B, and travel. Trusted by over 5,000 businesses, Maropost's tools are designed to scale with growing business needs, offering personalized and predictive capabilities for superior customer experience.

📋 Description

• Design and build scalable data engineer 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 data pipeline 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

• 5+ years of hands-on software engineering experience building and operating highly scalable distributed systems, data engineering solutions, 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 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

• Health insurance • Paid time off • Flexible work arrangements • Professional development