Senior Software Engineer, Data Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Create and develop scalable data engineering services that support analytics, reporting, machine learning, and AI functions across Maropost's offerings.

• Establish and uphold dependable data ingestion pipelines utilizing CDC and event-driven frameworks.

• Enhance our centralized analytics warehouse to guarantee high efficiency, scalability, and maintainability.

• Design and execute data models, materialized views, and aggregation strategies to facilitate product analytics and business reporting.

• Develop supporting APIs and services that provide analytics and reporting functionalities to both internal and external users.

• Set and implement multi-tenant security protocols, data governance standards, and access management policies.

• Monitor the health of data pipelines, data freshness, ingestion delays, and the overall reliability of the system.

• Contribute to technical specifications and engage actively in architecture and design discussions.

• Enhance developer productivity through automation, tooling, observability, and a commitment to operational excellence.

• Increase test coverage and refine engineering practices to ensure systems are reliable and maintainable.

⛳️ Requirements

• Over 5 years of practical software engineering experience in constructing and operating highly scalable distributed systems, data engineering solutions, or production backend services.

• Significant experience with contemporary analytical data warehouses such as ClickHouse, BigQuery, Snowflake, or Amazon Redshift.

• Extensive knowledge of ClickHouse, including its internals, materialized views, and OLAP workload optimization, is advantageous.

• Experience in designing and managing large-scale data ingestion pipelines using Kafka, Pulsar, CDC-based architectures, and relevant streaming technologies.

• Familiarity with tools like Debezium, Flink, Dataflow, or similar streaming and data processing frameworks is preferred.

• Strong SQL proficiency with practical experience in data modeling, query optimization, and analytical workloads.

• Experience in data engineering or analytics engineering projects involving large-scale data processing and transformation tasks.

• Experience in developing and maintaining backend services using Go (preferred) or another modern strongly typed programming language, along with skills in Python.

• Experience with cloud platforms, ideally GCP, encompassing managed data, messaging, and observability services.

• Proven track record of owning and delivering production systems from the technical design phase and stakeholder discussions through to deployment, operational support, and iterative enhancements across various release cycles.

• Familiarity with multi-tenant SaaS platforms, data governance practices, data security measures, and infrastructure-as-code tools like Terraform.

• Experience with analytical and time-series databases such as PostgreSQL, TimescaleDB, or similar technologies.

• Exposure to AI-driven applications, LLM integrations, or autonomous workflows is an additional benefit.

• Comfortable participating in on-call rotations and focused on creating simple, efficient solutions without unnecessary complexity.

• Proactive and self-motivated, possessing strong problem-solving and communication abilities, with the capability to collaborate effectively with both technical and non-technical stakeholders.

🏝️ Benefits

• Health insurance

• Paid time off

• Flexible work arrangements

• Professional development