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Cloud Data Engineer
2 weeks ago
Job Title: Cloud Data Engineer
We are seeking a skilled Cloud Data Engineer to join our team. In this role, you will be responsible for designing, building, and maintaining large-scale data processing systems in the cloud.
- Key Responsibilities:
- Design and implement scalable data pipelines using AWS services such as Glue, EMR, and Kinesis.
- Develop and maintain high-quality code using languages like Scala, Java, or Python.
- Collaborate with cross-functional teams to ensure seamless integration of data systems with business applications.
- Optimize data processing performance, scalability, and reliability using tools like Apache NiFi, Apache Airflow, and Sqoop.
- Develop data warehousing solutions using Amazon Redshift, Snowflake, or Google BigQuery.
- Qualifications:
- 5+ years of experience in cloud-based data engineering, preferably with AWS.
- Hands-on experience with big data technologies, including Hadoop, Spark, and NoSQL databases.
- Strong understanding of data processing concepts, including data ingestion, processing, and analytics.
- Excellent problem-solving skills, with the ability to troubleshoot complex technical issues.
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
About Us:
We offer a competitive salary, comprehensive benefits package, and opportunities for growth and professional development. If you are passionate about cloud data engineering and want to join a dynamic team, please submit your application.
Skills and Qualifications:
Data Engineering:
- Experience with cloud-based data platforms (AWS)
- Knowledge of big data technologies (Hadoop, Spark, NoSQL)
Programming Languages:
- Scala, Java, Python
Tools and Technologies:
- Apache NiFi, Apache Airflow, Sqoop
- Amazon Redshift, Snowflake, Google BigQuery
Bonus Skills:
- Experience with event-driven architectures
- Strong SQL skills
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