
AWS Data Engineering Specialist
1 day ago
Dear Candidate,
We are seeking an experienced professional to lead our Data Engineering efforts.
The ideal candidate will have expertise in designing, developing, and maintaining robust ETL/ELT pipelines on AWS using Spark and PySpark.
Key Responsibilities:
- Design and implement scalable data pipelines
- 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:
As a valued member of our team, you will have the opportunity to work on exciting projects, collaborate with talented professionals, and grow your career in a dynamic and supportive environment.
How to Apply:
If interested, kindly revert this mail with the details in the below format along with updated resume.
Name
Contact Number
Email ID
Current Location
Preferred Location
Total Experience
Relevant Experience
Current Organisation
Expected CTC
Notice Period
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