Senior Data Infrastructure Developer

2 weeks ago

Kurnool, Andhra Pradesh, India beBeeDataEngineer Full time US$ 80,000 - US$ 1,50,000
About Our Data Engineering Team

We are a group of passionate and performance-driven individuals on a mission to grow multiple e-commerce businesses with great products.

As a Data Engineer, you will play a key role in shaping the data infrastructure that powers real business growth.

You will join a fast-moving team that values innovation and customer success.

We offer personal development budgets to continuously sharpen your skills and work remotely from anywhere.

The Role
  • Data Infrastructure Specialist: You will design, maintain and scale our data infrastructure using advanced technologies like Snowflake and S3.
  • Data Pipelines Expert: You will develop robust data pipelines that extract valuable insights from marketing platforms.
  • Data Analyst Tooling: You will implement architectures suited for exploration, BI, real-time streaming and ML modeling.
Responsibilities
  • Audit & Data Integrity: Identify discrepancies in data accuracy and ensure high-quality datasets.
  • Pipeline Development: Develop, test, deploy and maintain scalable data pipelines.
  • Datasets Management: Design, implement and maintain datasets for various business needs.
  • Business Intelligence: Collaborate with stakeholders to develop actionable business intelligence reports.
Requirements
  • Data Skills: 3+ years as a Data Engineer with experience in MarTech or growth/performance marketing.
  • Programming Languages: Advanced Python for API extraction, automation and orchestration. JavaScript proficiency for tracking and GTM customization.
  • Database Experience: Hands-on experience with Snowflake including performance tuning and scaling.
  • Cloud Services: Comfortable working with S3 and data lakes for semi/unstructured data.
Bonus Points
  • dbt Transformations: Experience with dbt for transformation and modeling.
  • CICD Pipelines: CI/CD pipelines using GitHub Actions or similar.
  • Vector Databases: Knowledge of vector databases (e.g., Pinecone, Weaviate) for AI/ML readiness.
  • GPU Computing: Familiarity with GPU computing for high-performance data workflows.
What We Value
  • Curiosity: Relentlessly curious: You don't wait for someone to show you the API docs; you find the endpoints yourself.
  • Attention to Detail: Detail-obsessed: You notice the subtle changes, the disappearing fields, the data drift others overlook.
  • Self-Directed Work: Self-directed: You don't need micromanagement. Just give you the mission, and you'll reverse-engineer the map.
  • Clear Communication: Great communicator: You explain technical decisions clearly, with just enough detail for analysts, marketers and fellow engineers to move forward.

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