Cloud Data Architect
20 hours ago
We are seeking an experienced Senior Cloud Data Engineer to join our data engineering team.
The ideal candidate will have deep expertise in building scalable cloud-based data pipelines using Spark, PySpark, SQL, and Python.
- Key Responsibilities:
- Design, develop, and maintain robust ETL/ELT pipelines on AWS using Spark and PySpark.
- Optimize large-scale data processing workflows for performance and reliability.
- Work with AWS services such as Glue, EMR, S3, Lambda, and Redshift.
- Ensure data quality, governance, and security across all pipelines.
Required Qualifications:
- 6+ years of experience in data engineering.
- Strong proficiency in Spark, PySpark, SQL, and Python.
- Hands-on experience with AWS data services.
- Solid understanding of distributed computing and data architecture.
- Excellent problem-solving and communication skills.
- Experience with CI/CD for data pipelines.
- Familiarity with data lake and data warehouse architectures.
Benefits Package:
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
Additional Information:
This role requires a strong technical skill set in data engineering, cloud computing, and data warehousing.
The ideal candidate will have a solid understanding of distributed computing and data architecture, as well as excellent problem-solving and communication skills.
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