? We're Hiring: Entry-Level Data Engineer (0–2 Years) | Skandor Technologies

About Skandor Technologies Skandor Technologies builds production-ready AI products that help enterprises modernize workflows, improve decision-making, and create operational leverage. We focus on generative AI, automation, data platforms, and supply-chain intelligence to support end-to-end digital transformation — working with clients from product strategy and validation through to delivery of scalable enterprise platforms.

Our teams collaborate closely with industry partners, solving complex technical and business problems using advanced AI and software engineering, in an environment that emphasizes innovation, reliability, and real-world impact for enterprise customers.

The Role We're looking for an entry-level Data Engineer to help build and maintain data pipelines that power our AI-driven enterprise products.

What You'll Do

- Design, build, and maintain data pipelines using PySpark and Python
- Work with Databricks for data processing and transformation
- Deploy and manage data workflows on cloud platforms (AWS/Azure/GCP)
- Support data ingestion, cleaning, and transformation for AI/ML use cases
- Collaborate with data scientists, backend, and product teams




- Use AI-assisted tools to accelerate pipeline development and debugging
- Monitor data pipeline performance and troubleshoot issues

Required Skills

- Bachelor's degree in Computer Science, Engineering, or related field
- Proficiency in Python and PySpark
- Hands-on knowledge of Databricks
- Understanding of SQL and relational/non-relational databases
- Familiarity with a cloud platform (AWS, Azure, or GCP) and cloud data services (S3, ADLS, BigQuery, etc.)
- Basic understanding of ETL/ELT concepts and data pipeline orchestration (e.g., Airflow) (preferred)
- Exposure to Git/version control
- Comfort using AI-assisted tools (e.g., GitHub Copilot, Claude, ChatGPT) for coding and data exploration
- Understanding of data modeling and data warehousing basics (preferred)
- Robust problem-solving and analytical skills
- Good verbal and written communication skills
- Adaptability to new tools, technologies, and evolving project requirements

Who You Are - An analytical, detail-driven engineer who enjoys working with large-scale data, picks up new tools quickly, and communicates findings clearly to technical and non-technical stakeholders alike.

📌 Entry-Level Data Engineer (PySpark/Databricks) (India)
🏢 Skandor Technologies
📍 India