Roles and Responsibilities:
- Design and implement scalable data pipelines using ELT frameworks and orchestration patterns.
- Develop and maintain data models and data warehouse architecture in Snowflake.
- Build and manage dbt models for data transformation, documentation, and lineage tracking.
- Write efficient, reusable Python scripts for data ingestion, transformation, and automation.
- Monitor and optimize performance of data pipelines and Snowflake queries while enforcing data quality and governance.
Skills Required:
- 5+ years of experience in data engineering or a related field.
- Python for data manipulation, ingestion, and automation.
- Snowflake for schema design,
performance tuning, and security.
- Scalable data pipeline and warehouse performance optimization practices.
- Data transformation and documentation using dbt, including lineage tracking.
Positive to Have:
- Experience with orchestration tools such as Airflow or Prefect.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Strong SQL skills for large-scale datasets.
Education: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
📌 Data Engineer (Gurugram)
🏢 Careernet
📍 Gurugram
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