SolarSquare Energy - Data Engineer - Python

Company logo
Solarsquare Energy
Full‑stack residential solar installer offering design, permits, financing, installation and maintenance.
Design and build scalable cloud data pipelines and platforms using Python
28 days ago ago
Intermediate (4-7 years), Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Mumbai Metropolitan Region
Office Full-Time
Company Size
1,100 Employees
Service Specialisms
Solar Energy Solutions
Installation
Project Management
Design
Sector Specialisms
Residential
Commercial
Housing Society
Rooftop Solar
Renewable Energy
Solar Energy
Energy
Infrastructure
Role
What you would be doing
data ingestion
pipeline orchestration
data lake
data transformation
ci/cd
data quality
  • design and implement robust, scalable data pipelines and architect modern data solutions.
  • Data Ingestion : Develop and maintain robust data ingestion pipelines from a variety of sources, including operational databases (MongoDB, RDS), real-time IoT streams, and third-party APIs using services like AWS Kinesis/Lambda or Azure Event Hubs/Functions.
  • Champion a software engineering mindset by applying principles of version control (Git), CI/CD, and automated testing to all data logic.
  • Performance & Cost Optimization : Continuously monitor and optimize the performance and cost of the data platform, ensuring our serverless query engines and storage layers are used efficiently.
  • Orchestration : Implement and manage data pipeline orchestration using modern tools like Dagster, Apache Airflow, or Azure Data Factory.
  • Architect & Build : Design, implement and manage cloud-based data platform using a modern ELT (Extract, Load, Transform) approach.
  • Data Lake Management : Build and manage a scalable and cost-effective data lake on AWS S3 or Azure Data Lake Storage (ADLS Gen2), using open table formats like Apache Iceberg or Delta Lake.
  • Data Quality & Governance : Establish and enforce data quality standards. Implement automated testing and monitoring to ensure the reliability and integrity of all data assets.
  • using a best-in-class technology stack.
  • Data Transformation : Develop, test, and maintain complex data transformation models using dbt.
  • Collaboration : Work closely with data analysts and business stakeholders to understand their needs, model data effectively, and deliver datasets that power our BI tools (Metabase, Power BI).
What you bring
python
sql
aws
azure
docker
dbt
  • Experience with data cataloging and governance tools (i.e, OpenMetadata, DataHub, Microsoft Purview).
  • Proven experience building and maintaining data pipelines in Python.
  • Experience with NoSQL databases like MongoDB, including an understanding of its data modeling, aggregation framework, and query patterns.
  • Deep understanding of data warehousing concepts, including dimensional modeling, star/snowflake schemas, and data modeling best practices.
  • Hands-on experience building data solutions on a major cloud provider (AWS or Azure), utilizing core services like AWS S3/Glue/Athena or Azure ADLS/Data Factory/Synapse.
  • Proficient in Python based data cleaning packages and tools.
  • Expert-level proficiency in SQL and the ability to write complex, highly-performant queries.
  • Experience with containerization technologies (Docker, Kubernetes).
  • Familiarity with data orchestration tools like Apache Airflow, Dagster, or Prefect.
  • Hands-on experience with modern data transformation tools, specifically dbt.
  • Knowledge of infrastructure-as-code tools like Terraform or CloudFormation.
  • 3+ years of professional experience in a data engineering role.
  • Experience with real-time data streaming technologies, specifically AWS Kinesis or Azure Event Hubs.
  • Experience in python is a must.
  • Proficiency with Git and experience working with CI/CD pipelines for data projects.
Benefits
Information not given or found
Training + Development
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Interview process
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Visa Sponsorship
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Security clearance
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Company
Overview
20k homes served
Homes served
Over 20,000 homes across more than 20 Indian cities, equipped with storm-resistant solar systems.
$40M Series B
Funding round
Secured a Series B raise of $40 million in December 2024, driving significant revenue growth.
  • Offers end-to-end solar services for homeowners, including design, permits, financing, installation, and maintenance.
  • Engineered WindPro Mount™ systems to withstand extreme weather conditions.
  • Specializes in on-grid and off-grid rooftop solar solutions, integrating loan options and pre-engineered mounting systems.
  • Key investors include Lightspeed, Lightrock, Elevation Capital, Lowercarbon, Rainmatter, and Gruhas Proptech.
Culture + Values
  • We are passionate about making solar energy accessible to all.
  • Customer-centricity drives everything we do.
  • We focus on operational excellence and innovation.
  • We prioritize teamwork and collaboration.
  • We value honesty, integrity, and transparency.
  • We are committed to creating a workplace that fosters growth and development.
Environment + Sustainability
Net Zero by 2040
Carbon Neutrality Goal
Aiming to achieve carbon neutrality by 2040 through sustainable initiatives.
1M+ Tons CO2 Saved
Emissions Reduction Impact
Over 1 million tons of CO2 emissions reduced through solar installations.
  • Provide affordable and sustainable solar energy solutions that reduce carbon footprints.
  • Technology designed to minimize energy waste and maximize efficiency.
Inclusion & Diversity
30% Women
Gender Diversity
A commitment to gender balance in the workforce through inclusive hiring practices.
  • Focus on fostering an inclusive workplace.
  • Actively recruit and support diverse talent across all levels of the organization.
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