Responsibilities

- At least 7+ years hands-on experience in relevant industry .
- Develop and maintain scalable data pipelines and build new API integrations to support increase in data volume and complexity.
- Handle large, complex data sets that meet functional/non-functional business requirements.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
- Collaborate with data scientists and business teams to improve data models that feed business intelligence tools, increasing data accessibility.
- Work closely with teams to develop data models and pipelines for research, reporting, and machine learning.
- Excellent analytical and problem-solving skills.




- Write Unit and Integration tests and has valuable documentation practice.

Requirements

- SQL expertise and experience working with relational databases, query authoring (SQL) etc.
- Experience working with AWS Data Services like Glue, Athena, RedShift, RDS ETL Mapping snow flex or similar services.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience with Python, and data visualization tools.
- Strong analytic skills related to working with unstructured datasets.

📌 Data Engineer (India)
🏢 Qualigy Tech
📍 India