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Senior Data Engineer (Integrations & Platforms)

2 hours, 12 minutes ago
India
Full-time
Senior
Data Engineer
Software Development
Apache Airflow AWS Azure CRM dbt Docker GCP Kafka Kubernetes Microservices Python Segment Snowflake SQL Terraform
Apply Now
Massive Rocket

Massive Rocket

Massive Rocket is a Global Braze & Snowflake Agency that helps companies use data to understand their customers, automate communications, and generate predictable growth. They specialize in building beautiful digital experiences and increasing customer...

Media
51-250
Founded 2018
View All Jobs 11

Description

  • Design, build, and maintain scalable ETL/ELT pipelines across internal and external systems.
  • Develop and manage integrations between data warehouses, APIs, CDPs, CRM tools, and marketing platforms.
  • Build and optimise data ingestion frameworks for both batch and real-time architectures.
  • Manage API integrations, webhook frameworks, file-based ingestion, and event-driven pipelines.
  • Work closely with engineering and platform teams to ensure data is structured, accessible, and reliable.
  • Improve observability, monitoring, alerting, and performance across data pipelines and platform integrations.
  • Ensure governance, security, and documentation standards are applied across all integrations.
  • Troubleshoot data delivery issues, system failures, and performance bottlenecks.
  • Support scalable architecture patterns that can be reused across multiple clients.

Requirements

  • Strong experience building and maintaining APIs, webhooks, and platform integrations.
  • Strong understanding of ETL/ELT design patterns and orchestration tools.
  • Experience with cloud infrastructure such as AWS, Azure, or Google Cloud.
  • Experience with tools such as dbt, Airflow, Fivetran, Stitch, Hightouch, Segment, or similar platforms.
  • Familiarity with event streaming or messaging systems such as Kafka, Kinesis, Pub/Sub, or SQS.
  • Experience working with multiple source systems, including CRM, CDP, product analytics, and transactional systems.
  • Strong SQL and Python skills with the ability to work across multiple data environments.
  • Experience building reusable frameworks, automation, and monitoring processes.
  • Strong problem-solving skills and comfort operating across complex technical environments.
  • Preferred experience with reverse ETL, composable CDPs, audience activation tooling, Terraform, Docker, or Kubernetes, and highly technical agency or consulting environments.

Benefits

  • Remote-first work from anywhere.
  • Clear career progression and real ownership opportunities.
  • Collaborative global team with colleagues across Europe, the US, and beyond.
  • Fast growth environment with strong learning and development opportunities.
  • Meetups, events, and team experiences.
  • Supportive culture focused on people and collaboration.

Interested in this position?

Apply directly on the company website

Apply Now

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