NextRaiseNextRaiseFind jobs
Sign inSign up free
Jobs / Data Engineer in India
10 hours ago
Apply with autofill
Apply with autofill
MA
Maropost·10 hours ago
10 hours ago

Senior Data Platform Engineer

Remote, IndiaFull-timeRemoteSenior · 5+ yearsData Engineer

Sign up free to see how well your resume matches this role.

Boost your chances at maropost

How you compare FREE

?
Your scoreYour score: not yet known
→
82
Top 10%Top 10%: 82 out of 100

Top 10% of NextRaise users matched against Data Engineer roles in India.

Must-have skills for this role

  • go
  • sql
  • clickhouse
  • kafka

PDF or DOCX · no account needed

Apply faster with autofill FREEThe NextRaise extension autofills your application in one click.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • 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.

What they're looking for

  • 5+ years of hands-on software engineering experience building and operating highly scalable distributed systems, data engineering solutions, or backend services in production.
  • Backend engineering experience is mandatory, with hands-on experience building and maintaining production-grade backend services.
  • Strong experience with modern analytical data warehouses such as ClickHouse, BigQuery, Snowflake, or Amazon Redshift.
  • Experience designing and operating large-scale data ingestion pipelines using Kafka, Pulsar, CDC-based architectures, and related streaming technologies.
  • 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.
  • Comfortable participating in on-call rotations and focused on building simple, efficient solutions without over-engineering.

Nice to have

  • Experience with system design, including backend systems, and experience working in a product-based environment.
  • Deep expertise in ClickHouse, including internals, materialized views, and OLAP workload optimization.
  • Familiarity with tools such as Debezium, Flink, Dataflow, or similar streaming and data processing frameworks.
  • Exposure to AI-powered applications, LLM integrations, or agentic workflows is an added advantage.

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

Everything we do is for our customers!

 

Featured on Deloitte's Technology Fast 500 list and G2's leaderboard, Maropost offers a unified commerce experience that our customers need, transforming ecommerce, retail, marketing automation, merchandising, helpdesk and AI operations with one platform designed to scale for fast-growing businesses. With a relentless focus on our customers’ success, we are motivated by customer obsession, extreme urgency, excellence and resourcefulness to power 5,000+ global brands while we head to 100,000+.

 

Driven by the same customer-centric mentality as above, we empower businesses to achieve their goals and grow alongside us. If you're a driver and not passenger and are ready to make a significant impact and be part of our transformative journey, Maropost is the place for you.

 

The Opportunity:


Thrive on change and grow beyond limits! We are looking for a bold thinker who sees a chance to learn and define whatʼs possible with every challenge! Ready to make an impact? Welcome to Maropost and you can turn ideas into action!


We are looking for an open-minded and enthusiastic Senior Data Platform Engineer to join our team. If you are interested in building scalable data solutions that power analytics, reporting, cross-cloud insights, machine learning, and AI-driven experiences, we'd love to meet you!


We are a product-driven team, and we're looking for someone who enjoys solving complex data engineering challenges, collaborating across teams, and delivering end-to-end solutions with minimal dependencies.


What Youʼll Be Responsible For:


  • 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.


What Youʼll Bring to Maropost:


  • 5+ years of hands-on software engineering experience building and operating highly scalable distributed systems, data engineering solutions, or backend services in production.
  • Backend engineering experience is mandatory, with hands-on experience building and maintaining production-grade backend services.
  • Experience with system design, including backend systems, and experience working in a product-based environment are preferred.
  • Good understanding of system design and the ability to make technical and architectural/design decisions.
  • 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.
  • You exemplify Maropost’s Values: 
  • Customer Obsessed 
  • Extreme Urgency 
  • Excellence 
  • Resourceful

 

Message from the Founders: Maropost is looking for builders - people who want to drive our business forward at all costs in order to achieve the goals we have both short and long term for the results and outcomes that that will bring to us all.

If that isn't for you that’s ok, for those of you that it is please get in touch with us!

Company

MA
Maropost
Remote, India

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Maropost's careers site·first seen 22 Sept 2026·last verified 22 Sept 2026·How we source jobs

Similar jobs

  • Lead AWS Data Engineer (PPM) at techwaveHyderabad, India–match not yet calculated
  • Data Platform Engineer, Platform Engineering at VerifoneBengaluru, India–match not yet calculated
  • Principal Data Engineer (AWS, Databricks, Ai, ML Flow, Data Architecture, Apache Airflow) at MastercardPune, India–match not yet calculated
  • Data Engineer -Databricks at shyftlabsCoimbatore, India–match not yet calculated
  • Data Engineer - R01571442 at brillio-2Bengaluru, India–match not yet calculated

Browse more jobs

  • Data Engineer jobs in India
  • Data Analyst jobs in India
  • Data Scientist jobs in India
  • Business Intelligence Analyst jobs in India
  • Data Engineer jobs in United States
  • Data Engineer jobs in United Kingdom