Data Engineer
First seen by Alion on Nov 13, 2026.
Role:
Data Engineer
Location:
Mumbai/Bengaluru (hybrid)
About the Role:
As a Data Engineer at SolarSquare, you will own the end-to-end lifecycle of our data infrastructure. You will design and build scalable, reliable data pipelines and architect a modern data platform that turns raw, messy data into clean, trusted data products for decision-making across the business.
You will work closely with product managers, data analysts, data scientists, and software engineers to understand data needs and deliver high-performance solutions.
What You'll Own:
1. Platform & Architecture:
- Design, implement, and manage our cloud-based data platform using a modern ELT approach.
- Continuously monitor and tune performance and cost.
2. Ingestion & Data Lake:
- Build and maintain robust ingestion pipelines from operational databases (MongoDB, RDS), real-time IoT streams, and third-party APIs.
- Build and run a scalable, cost-effective data lake on AWS S3, using open table formats such as Apache Iceberg or Delta Lake.
3. Transformation & Orchestration:
- Develop, test, and maintain complex transformation models in dbt or equivalent.
- Bring a software engineering mindset: version control (Git), CI/CD, and automated testing applied to all data logic.
- Implement and manage pipeline orchestration with tools such as Dagster, Apache Airflow, or equivalent.
4. Data Quality & Governance:
- Set and enforce data quality standards.
- Put automated testing and monitoring in place so every data asset is reliable and trustworthy.
Must-haves:
- 3 - 5 years of professional experience in a data engineering role.
- Expert-level SQL, including writing complex, high-performance queries.
- Strong Python, with proven experience building and maintaining data pipelines.
- Hands-on experience building data solutions on AWS or Azure.
- Experience with NoSQL databases such as MongoDB.
- Deep understanding of data warehousing concepts: dimensional modeling, star/snowflake schemas.
- Hands-on experience with dbt.
- Familiarity with orchestration tools such as Apache Airflow, Dagster, or Prefect.
- Proficiency with Git and experience with CI/CD pipelines.
Nice to have:
- Experience with real-time streaming technologies (AWS Kinesis or Azure Event Hubs).
- Experience with data cataloging and governance tools.
- Knowledge of infrastructure-as-code tools such as Terraform or CloudFormation.
- Experience with containerization (Docker, Kubernetes).
Skills
Data Engineering, SQL, Python, AWS, MongoDB, Data Warehousing, Apache Airflow, Git, CI/CD, Terraform, Docker