
AWS Data Pipeline Engineer
2 days ago
Dear Candidate, we are seeking a highly skilled professional to join our data engineering team as an AWS Data Architect.
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.
Our requirements include:
- Designing, Developing, and Maintaining Robust ETL/ELT Pipelines on AWS using Spark and PySpark
- Optimizing Large-Scale Data Processing Workflows for performance and reliability
- Collaborating with Various AWS Services such as Glue, EMR, S3, Lambda, and Redshift
- Maintaining Data Quality, Governance, and Security across all pipelines
Applicants should possess:
- At least 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
Please respond with the following information if interested:
- Name
- Contact Number
- Email ID
- Current Location
- Preferred Location
- Total Experience
- Relevant Experience
- Current Organisation
- Expected CTC
- Notice Period
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