Senior Data Engineer
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Summary
A senior data engineer who designs, builds, and operates end-to-end data pipelines (ingestion, transformation, delivery) for clients on Snowflake or Databricks, using Python, SQL, and dbt with orchestration tools like Airflow/Prefect on AWS, Azure, or GCP. Fully remote role based in India, serving global customers.
This is a remote position.
Senior Data Engineer
Location: Remote (India)
Experience: 5+ Years
Employment Type: Contractual
Company: indigoChart Technologies India Pvt. Ltd.
About indigoChart
indigoChart takes pride in delivering excellence by collaborating with decision-makers to execute on their Data Modernization Strategies.
We are looking for an experienced Data Engineer to join our dynamic team and play a key role in designing and building the data pipelines that power our customers' analytics use cases.
About the Role
We're looking for a skilled Data Engineer with 5+ years' experience to join our remote team and take ownership of designing, building, and operating data pipelines across our customers' evolving technical stacks. This is an exciting opportunity for an experienced professional to make a significant impact in an innovation-driven environment.
You'll design, build, and own data pipelines that power analytics and downstream applications - working across ingestion, transformation, and delivery of clean, reliable data at scale.
This is a hands-on engineering role for someone who enjoys solving real data problems, writing solid code, and taking ownership of what they build in production.
Location
100% Remote, preferably based in Mumbai / Pune India , serving global clients with reasonable time-zone overlap.
Key Responsibilities
Data 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.