
AWS Cloud Data Engineer
2 days ago
The ideal candidate will possess a strong background in designing, developing, and maintaining scalable data pipelines using cloud services.
Main Responsibilities:
- Design and implement robust ETL pipelines focusing on performance, scalability, and data quality.
- Develop and maintain applications for data manipulation, transformation, and analysis using Python and Spark.
- Translate business requirements into technical solutions using AWS cloud services and programming languages.
- Lead projects including planning, execution, testing, and documentation.
- Collaborate with team members to deliver high-quality solutions.
Key Qualifications:
- Strong understanding and hands-on experience with cloud services like EC2, S3, EMR, Glue, and Redshift.
- Proficiency in PL/SQL and T-SQL for data querying and database interactions.
- Excellent written and verbal communication skills.
- Experience leading teams in a technical environment.
- 5+ years of experience in data integration and pipeline development.
- Experience working with big data technologies like Apache Spark, Glue, Kafka, Kinesis, and Lambda in S3, Redshift, RDS, MongoDB, and DynamoDB ecosystems.
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