
Senior Data Systems Specialist
3 days ago
We are seeking an experienced Data Engineer to join our team. As a key member of our engineering department, you will be responsible for designing, developing, and maintaining large-scale data systems.
Key Responsibilities:- Design and develop scalable data pipelines using PySpark
- Develop and maintain batch and streaming data pipelines
- Implement complex business logic using Spark SQL, DataFrame, and RDD APIs
- Work with cloud services such as AWS S3, AWS Glue/EMR, and Redshift
- Collaborate with cross-functional teams to identify and prioritize project requirements
- Strong experience in PySpark and Spark API Expertise
- Hands-on expertise in building scalable data pipelines using PySpark
- Proficiency in using Spark SQL, DataFrame, and RDD APIs to implement complex business logic
- Familiarity with modern data engineering ecosystem and distributed data processing
- Cloud Data Platform Experience (preferably AWS)
- Redshift or other cloud data warehouses
- Opportunity to work with cutting-edge technologies and tools
- Collaborative and dynamic work environment
- Professional growth and development opportunities
- Experience working with cloud services such as AWS Lambda, Step Functions, or similar for orchestration/integration
- Knowledge of Apache Airflow, dbt, Delta Lake, etc.
We are a company that values innovation, collaboration, and continuous learning. We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.
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