Senior Data Engineer

indigoChart Technologies India Pvt Ltd; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote-First

Collaborative culture

Competitive compensation

PTO & holidays

Training & certs

Job summary

indigoChart Technologies India Pvt. Ltd. is hiring a Senior Data Engineer to design, build, and operate data pipelines for global clients in a remote-capable setup.

You will own end-to-end data flows, work across ingestion, transformation, and delivery, and ensure robust, scalable analytics capabilities in production. A strong background in Python, SQL, dbt, and modern data platforms is required.

Qualifications

• 5+ years of professional experience as a Data Engineer or similar with data pipelines.
• Strong Python production-grade coding practices.
• Advanced SQL skills with performance tuning.
• Hands-on dbt development and testing.
• Experience with Snowflake, Databricks, or comparable platforms.
• Cloud exposure (AWS/Azure/GCP).
• Git and basic CI/CD for pipelines.
• Experience translating business needs into data solutions.

Responsibilities

• Design and build end-to-end data pipelines across Snowflake or Databricks.
• Develop data extraction, transformation, and loading using Python, SQL, and dbt.
• Operate production pipelines on major cloud platforms (AWS/Azure/GCP).
• Support orchestration tools (Airflow, Prefect) for reliable scheduling.
• Provide technical ownership and propose optimal data solutions across stacks.
• Ensure performance, security, scalability, and robust data integration.
• Collaborate with stakeholders and fellow engineers to deliver production-ready pipelines.

Skills

Python

SQL

dbt

Snowflake

Databricks

AWS

Azure

GCP

Git

CI/CD

Stakeholder mgmt

Production code

Education

Bachelor’s degree in CS/IT

Job description

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.

If you're passionate about building secure, scalable, and intelligent data systems - we'd love to hear from you.

Originally posted on Himalayas