
Cloud Data Pipeline Specialist
4 days ago
Job Title
Data Engineer Position OverviewWe are seeking an experienced data engineer to lead the development of scalable data pipelines using Apache Spark and PySpark. The ideal candidate will have a deep understanding of cloud-based data processing and hands-on experience with AWS services.
- Develop and maintain robust ETL/ELT pipelines on AWS using Spark and PySpark.
- Optimize large-scale data processing workflows for performance and reliability.
- Collaborate with cross-functional teams to design and implement data architecture.
- Stay up-to-date with emerging technologies and trends in data engineering.
- Design, develop, and maintain efficient data pipelines using Apache Spark and PySpark.
- Implement data quality, governance, and security best practices throughout the pipeline.
- Work closely with stakeholders to understand business requirements and develop effective solutions.
- Maintain and improve existing data pipelines to meet evolving business needs.
The following skills and qualifications are required for this position:
- Strong expertise in data engineering, including data processing, storage, and retrieval.
- Hands-on experience with AWS services, including S3, Glue, EMR, Lambda, and Redshift.
- Proficiency in programming languages such as Python and SQL.
- Ability to work collaboratively in a fast-paced environment.
Benefits
This role offers a competitive compensation package and opportunities for growth and professional development.
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