Senior AWS Data Engineer
1 week 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- 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.
We are looking for an expert who can build scalable data pipelines using various tools and technologies.
He/she should be able to work independently and as part of a team to deliver high-quality results.
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.
If you have any questions or need further clarification, please don't hesitate to reach out.
Please provide your updated resume along with your contact information if interested.
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