
Senior AWS Data Engineer Opportunity
2 days ago
We are seeking a highly skilled Senior AWS 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- Data Pipeline Development: Design, develop, and maintain robust ETL/ELT pipelines on AWS using Spark and PySpark.
- Optimization: Optimize large-scale data processing workflows for performance and reliability.
- AWS Services: Work with AWS services such as Glue, EMR, S3, Lambda, and Redshift.
- Data Quality: Ensure data quality, governance, and security across all pipelines.
- Experience: 6+ years of experience in data engineering.
- Skills: Strong proficiency in Spark, PySpark, SQL, and Python. Hands-on experience with AWS data services.
- Understanding: Solid understanding of distributed computing and data architecture.
- Problem-Solving and Communication: Excellent problem-solving and communication skills.
- CI/CD and Data Architecture: Experience with CI/CD for data pipelines. Familiarity with data lake and data warehouse architectures.
Please note that this is an exciting opportunity to work with a highly skilled team and contribute to the growth of our organization. We offer a competitive compensation package and opportunities for career advancement.
How to ApplyIf you have any questions or need further clarification, please let us know. If interested, kindly revert this mail with your details in the below format along with your updated resume:
- Name
- Contact Number
- Email ID
- Current Location
- Preferred Location
- Total Experience
- Relevant Experience
- Current Organisation
- Current CTC
- Expected CTC
- Notice Period
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