
Cloud Data Engineer
14 hours ago
Cloud Data Engineer Position
We are seeking a skilled cloud data engineer to design and implement data solutions that leverage cloud technologies and big data processing frameworks. The ideal candidate will have a strong background in data engineering and will be responsible for developing and maintaining data pipelines using AWS services, Pyspark, and Databricks.
Key Responsibilities:
- Design, develop and maintain data pipelines using AWS services, Pyspark, and Databricks.
- Collaborate with data architects and data engineers to optimize data flow and data management practices.
- Perform data analysis and visualization to support business decision-making processes.
- Monitor and troubleshoot data processing jobs to ensure they are running efficiently and effectively.
- Implement best practices for data governance and data quality management.
- Work closely with cross-functional teams to gather requirements and deliver data solutions.
Required Skills and Qualifications:
- 5-8 years of experience in data engineering or related field.
- Strong proficiency in AWS services such as S3, EC2, Lambda, Glue, and Redshift.
- Hands-on experience with Pyspark for big data processing and analytics.
- Familiarity with Databricks platform and its features for data analytics.
- Experience with SQL and NoSQL databases.
- Knowledge of data modeling and ETL processes.
- Strong programming skills in Python or Scala.
- Ability to work in an agile environment and collaborate with teams effectively.
Benefits:
The successful candidate will have the opportunity to work on challenging projects, collaborate with a dynamic team, and contribute to the growth and success of our organization.
Why You Should Join:
This is an excellent opportunity for a motivated and experienced data engineer to join our team and take on new challenges. If you are passionate about working with cloud technologies and big data processing frameworks, we encourage you to apply.
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