
Data Engineering Lead
7 days ago
Are you a skilled data engineer looking for a challenging role? Do you have experience in designing and building scalable data pipelines?
This is an excellent opportunity to join our team as a Data Engineering Leader. In this role, you will play a key part in enabling data-driven decision-making across the organization by building efficient data workflows and ensuring reliable data infrastructure.
Key Responsibilities:
- Create scalable and efficient data pipelines.
- Integrate and process data from diverse sources using Kafka and other ingestion tools.
- Build ETL workflows leveraging PySpark and manage orchestration with Airflow.
- Optimize data warehousing solutions using Amazon Redshift and Snowflake.
- Collaborate with data analysts, scientists, and other stakeholders to understand data requirements and deliver solutions.
- Monitor and troubleshoot data pipeline issues and ensure data integrity.
- Ensure best practices for data quality, security, and compliance are followed.
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
- 4+ years of experience in Data Engineering or a similar role.
- Strong programming skills in Python, particularly with PySpark.
- Proven experience with Apache Kafka for real-time data streaming.
- Hands-on experience with AWS Redshift and Snowflake for data warehousing.
- Solid understanding and practical experience with Airflow for workflow orchestration.
- Proficient in writing complex SQL queries for data transformation and reporting.
- Opportunity to work on cutting-edge AI technologies and innovative projects.
- Collaborative and inclusive work environment.
- Professional development and growth opportunities.
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