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1 day ago
Job Title: AWS Data Architect
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.
- 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.
As a senior AWS data engineer, you will play a key role in designing, implementing, and maintaining large-scale data processing systems. You will work closely with cross-functional teams to ensure seamless integration with existing infrastructure and applications.
Our ideal candidate has a strong background in cloud computing, with experience in deploying and managing complex data pipelines on AWS. They should be proficient in programming languages such as Python, Java, and Scala, and have a solid understanding of distributed computing and data architecture.
If you are passionate about working with big data and want to be part of a dynamic team that is shaping the future of data engineering, please submit your application today
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