MUMBAI · FULLTIME
Data Engineer
Agam Capital India
Mumbai · onsite · Posted 52d ago
Sourced from
Not disclosed5–7 yrsfulltimeMumbai
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Section · 01
About this role
Data Engineer
About the Role
We are seeking a skilled Data Engineer to join our Engineering team. In this role, you will design, build, and maintain scalable data pipelines and platforms that support business intelligence, analytics, and AI-powered applications. You will work closely with software engineers, product teams, and business stakeholders to deliver reliable, high-quality data solutions while contributing to the evolution of our enterprise data architecture.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Python.
- Build and optimize enterprise data lakes, warehouses, and lakehouse solutions.
- Develop data pipelines that support analytics, AI/ML, vector databases, and Retrieval-Augmented Generation (RAG) applications.
- Implement data quality, validation, lineage, and governance processes.
- Optimize data storage, processing, and cloud infrastructure for performance and cost efficiency.
- Collaborate with cross-functional teams to deliver scalable data solutions.
- Leverage AI-assisted development tools to improve engineering productivity and code quality.
Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related discipline.
- 5+ years of experience designing and supporting production data pipelines.
- Strong proficiency in Python and SQL.
- Experience with modern data platforms such as Snowflake, Databricks, or Microsoft Fabric.
- Experience with cloud platforms including Azure, AWS, or Google Cloud Platform.
- Hands-on experience with workflow orchestration tools such as Apache Airflow or Azure Data Factory.
- Solid understanding of data modeling, governance, and data quality best practices.
Preferred Qualifications
- Experience with Docker, Kubernetes, and Infrastructure as Code.
- Experience building data solutions for AI, machine learning, or Generative AI applications, including vector databases and RAG architectures.
- Familiarity with AI-powered software development tools and modern engineering practices.
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Section · 02
Skills
data qualitygoogle cloud platformamazon web servicesapache airflowMicrosoft FabriceltDatabricksPythonSQLAzure Data FactorySnowflakeETLMicrosoft AzureData Modeling