
AWS Cloud Data Engineer
15 hours ago
Dear Candidate,
We are seeking a highly skilled Senior 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.
The successful candidate will be responsible for designing, developing, and maintaining robust ETL/ELT pipelines on AWS using Spark and PySpark, optimizing large-scale data processing workflows for performance and reliability, working with AWS services such as Glue, EMR, S3, Lambda, and Redshift, ensuring data quality, governance, and security across all pipelines, and collaborating with cross-functional teams to drive business growth.
Key Responsibilities:
- Design and Develop Data Pipelines
- Optimize Data Processing Workflows
- Work with AWS Services
- Ensure Data Quality and Governance
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
By joining our team, you will have the opportunity to work on high-impact projects, collaborate with experienced professionals, and grow your skills and expertise in the field of data engineering.
Please let us know if you have any questions or need further clarification.
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