AWS Cloud Data Architect Specialist
2 weeks ago
We are seeking a highly skilled Senior Data Engineer to join our data engineering team.
The ideal candidate will have deep expertise in building scalable data pipelines using Apache Spark, PySpark, SQL, and Python, along with hands-on experience in the AWS ecosystem.
Key Responsibilities:
- Design, Develop, and Maintain Robust ETL/ELT Pipelines on AWS: Using Spark and PySpark to ensure high-quality data processing.
- Optimize Large-Scale Data Processing Workflows: For performance and reliability using AWS services such as Glue, EMR, S3, Lambda, and Redshift.
- Ensure Data Quality, Governance, and Security: Across all pipelines, adhering to industry standards and best practices.
Required Skills and 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.
Data Engineer Benefits:
- Opportunity to work on large-scale data engineering projects.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
Please note that only shortlisted candidates will be contacted for further evaluation.
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