Responsibilities
At least 7+ years hands-on experience in relevant industry .
Develop and maintain scalable data pipelines and build current 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.
Robust analytic skills related to working with unstructured datasets.

📌 Data Engineer Bengaluru
🏢 Qualigy Tech
📍 Bengaluru