Data Engineer

Key Responsibilities

• Data Pipeline Development:
  • Design, implement, and optimize scalable data pipelines and ETL processes to support various analytics needs.
• Data Warehouse Management:
  • Develop and maintain robust data warehouses and analytics infrastructure on cloud platforms.
• Client Collaboration:
  • Engage with clients to understand their data requirements and deliver customized data engineering solutions.
• Proof-of-Concepts & MVPs:
  • Create proof-of-concepts and minimum viable products (MVPs) to test ideas and gather client feedback rapidly.
• Documentation & Communication:
  • Write clear and comprehensive documentation.
  • Effectively communicate technical concepts to non-technical stakeholders.
• Client Engagement:
  • Participate in client meetings, providing expertise and insights in data engineering.
• Continuous Learning:
  • Stay abreast of the latest data engineering tools, technologies, and best practices to ensure Brainforge remains at the forefront of the industry.

Must Have Qualifications

• Build & Own Data Systems:
  • You’ve built and maintained production-grade data pipelines using SQL, Python, and Spark
  • You use DBT as a core part of your transformation layer—not an afterthought
• Modern Data Stack Fluency:
  • You’ve worked hands-on with at least one modern warehouse (Snowflake, BigQuery, Redshift, or Databricks) and understand how to model for it
  • You’re comfortable operating in cloud environments (AWS, GCP, or Azure)
• Orchestration & Ingestion:
  • You’ve shipped pipelines using an orchestrator (Airflow, Dagster, or Prefect)
  • You’ve integrated data using tools like Airbyte, Fivetran, or Polytomic (or built equivalent ingestion patterns)
• Shipping Mindset:
  • You use CI/CD tools (e.g., GitHub Actions, Terraform, or similar) to ship reliably
  • You write code that other people can read, trust, and build on

Nice to Have

• Depth > Tools:
  • You’ve worked across multiple warehouses, orchestration, or ingestion tools—and have opinions about tradeoffs
• Infrastructure Awareness:
  • You’re comfortable with Docker, Kubernetes, or similar infrastructure patterns
• Data as a Product:
  • You think about data quality, governance, and reliability as first-class concerns
• Scale & Efficiency:
  • You’ve optimized pipelines for performance, cost, and reliability in real-world environments

What We’re Looking For

1. Innovative Prototyper: You thrive on building and iterating MVPs, turning concepts into functional products with a focus on scalability and user experience.
2. Effective Communicator: You excel at conveying complex technical information clearly and concisely, both in writing and verbally.
3. Passionate Builder: Your dedication to data engineering is evident through personal projects, open-source contributions, or continuous learning.
4. Client-Centric: You enjoy engaging with clients, understanding their needs, and delivering solutions that exceed their expectations.
5. Big Picture Thinker: You analyze data usage, comprehend competitive landscapes, and select the right metrics to drive success beyond technical implementations.
6. Collaborative Team Member: Your positive attitude and proactive approach make you a valuable and easy-to-work-with team member.

About Brainforge

At Brainforge, we're on a mission to transform data into actionable insights that drive business success. As a rapidly growing data analytics consulting company, we partner with clients across various industries to deliver cutting-edge solutions that unlock the full potential of their data. Join our dynamic team and be a part of shaping the future of data analytics.

Transforming raw data into actionable insights

We help businesses boost revenue, save time, and make smarter decisions with Data and AI