100% Remote, preferably based in Mumbai / Pune India , serving global clients with reasonable time-zone overlap.
Key ResponsibilitiesData Pipeline Design & Development
- Work across a modern data stack spanning Snowflake (data warehouse) OR Databricks (data processing platform) to build and run end-to-end data pipelines.
- Design and develop custom data pipelines for data extraction, transformation, and loading using Python, SQL, and dbt.
- Build and maintain automated, tested, and version-controlled data transformation logic using dbt across the data warehouse layer.
Data & Platform Engineering
- Operate production data pipelines on one or more major cloud platforms (Azure, AWS, or GCP).
- Support data orchestration and workflow tools (e.g., Airflow, Prefect, or equivalent) to schedule and monitor pipelines reliably.
Technical Ownership
- Provide thought leadership by recommending the right technologies and solutions for a given use case, from the application layer to infrastructure.
- Stand behind your recommendations and explain technical decisions clearly, both internally and to customers.
- Explore new technologies to continually uncover better, more automated ways to solve data engineering problems.
Quality, Performance & Collaboration
- Ensure performance, security, scalability, and robust data integration across all delivered pipelines.
- Follow the complete software development lifecycle — design, documentation, implementation, testing, and deployment.
- Collaborate with and help fellow data engineers learn and grow, translating customer needs into dependable, production-ready solutions.
Requirements
What We're Looking For (Mandatory Skills)
- 5+ years of professional experience as a Data Engineer (or in a role with heavy data pipeline/SQL responsibility).
- Strong Python skills: comfortable writing production grade code, familiar with good software best practices (functions, modules, testing, error handling).
- Strong SQL skills: can write, debug, and optimize complex queries; understand indexing, joins, and query performance at a practical level.
- Hands-on experience with dbt as a data transformation tool, including developing, testing, and maintaining modular data models.
- Hands-on experience with Snowflake, Databricks, or a comparable modern data platform, including data processing, modelling, and performance optimization.
- Solid understanding of data engineering fundamentals.
- Experience working with at least one cloud platform (AWS, Azure, or GCP).
- Version control (Git) and basic CI/CD exposure for deploying pipeline code.
- Experience working directly with stakeholders to translate business needs into data solutions.
Qualifications:
- Bachelor’s degree in computer science, Information Technology, or a related discipline.
- 5+ years of experience as a Data Engineer with Software Engineering skills with production experience in one or more core data platforms.
- Strong analytical mindset with excellent troubleshooting, documentation, and problem-solving skills.
- Ability to work collaboratively in a startup environment that values speed, ownership, and innovation.
Benefits
Why indigoChart?
- Remote-First Work Environment — work 100% remote from anywhere in India.
- Collaborative culture that prizes autonomy, creativity, and transparency.
- Competitive compensation, excellent benefits, and a generous PTO plan plus holidays.
- Accelerated learning and professional development through advanced training and certifications.
At indigoChart, every team member contributes to shaping the future of data technology. If you're passionate about building secure, scalable, and intelligent data systems — we'd love to hear from you.