Data Engineer - SQL/Python
First seen by Alion on Oct 27, 2026.
Data Engineer
Experience : 4+ Years
Location : Coimbatore
Employment Type : Full-Time
Joining : Immediate / Within 30 Days
About the Role :
We are looking for a Data Engineer to design, develop, and optimize scalable data pipelines, data models, and cloud-based data architectures that support AI-native platforms and intelligent systems. The role focuses on reliable data processing, pipeline performance, data quality, and building data infrastructure for AI and GenAI applications.
Key Responsibilities :
- Design, develop, and maintain scalable ETL/ELT workflows and data pipelines.
- Build and optimize data models to support efficient data processing and consumption.
- Work with Python and SQL to develop and maintain data engineering solutions.
- Manage and optimize data workflows across databases and cloud platforms.
- Use Big Data processing and orchestration tools to support pipeline execution and management.
- Ensure data quality, pipeline observability, and system performance.
- Support data infrastructure requirements for GenAI applications, RAG pipelines, and embeddings.
- Collaborate with AI engineers, data scientists, and product teams to support data-driven solutions.
Required Skills and Experience :
- 4+ years of hands-on experience in data engineering.
- Advanced proficiency in Python and SQL.
- Strong expertise in ETL/ELT workflows and data pipeline development and maintenance.
- Experience with PostgreSQL, MySQL, and MongoDB.
- Experience with cloud platforms such as AWS, GCP, or Azure.
- Hands-on proficiency with Big Data processing and orchestration tools such as Apache Spark, Databricks, Airflow, or Prefect.
- Familiarity with Git, Docker, and Linux.
- Familiarity with data infrastructure supporting GenAI, RAG pipelines, and embeddings.
- Strong problem-solving skills, with a focus on data quality, pipeline observability, and performance.
- Ability to collaborate with AI engineering, data science, and product teams.
What We're Looking For :
- A builder mindset and a structured approach to problem-solving.
- Focus on reliable, scalable, and high-quality data systems.
- A collaborative approach to working across technical and product teams
Skills
Data Engineering, Data Pipeline, ETL, SQL, Python, AWS, Big Data, Databricks, Apache Airflow, Apache Spark