About this role
The team is seeking a skilled Data Engineer to join their team in Hyderabad. The ideal candidate will have a strong background in building and maintaining data pipelines and working with various data technologies. This role requires a proactive individual who can contribute to the design and maintenance of trusted datasets that support data analysis and machine learning initiatives.
Key Responsibilities:
- Design and maintain DBT models that produce trusted datasets, features, and metrics for the Data Science team.
- Build and operate data pipelines in Databricks, utilizing PySpark jobs and Delta/Iceberg tables.
- Transform raw operational events into analysis-ready data for reporting and experimentation.
- Collaborate with cross-functional teams to understand data requirements and ensure data quality.
- Monitor and optimize data pipeline performance and reliability.
Required Skills & Qualifications:
- Proficiency in AWS and Databricks.
- Strong experience with PySpark, DBT, Airflow, and SQL.
- Ability to work with large datasets and perform data transformations.
- Familiarity with data modeling and ETL processes.
- Excellent problem-solving skills and attention to detail.
Experience:
- 5-8 years of relevant experience in data engineering or a related field.
What we offer:
- Opportunity to work in a dynamic environment with cutting-edge technologies.
- Collaborative team culture focused on innovation and growth.
- Professional development opportunities to enhance your skills.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.