
Cloud Data Engineer
1 day ago
Job Description:
The role involves working on data engineering projects that focus on designing, developing, and maintaining large-scale data processing systems. As a cloud data engineer, you will be responsible for architecting and implementing data pipelines, warehouses, and lakes using cloud-based technologies.
Required Skills and Qualifications:
- Hands-on experience with Python and PySpark programming languages.
- Ability to design and implement scalable data pipelines using Spark Dataframes.
- Experience in optimizing Spark jobs for efficient data processing.
- Proficiency in version control tools like Git.
- Knowledge of Amazon's Analytics services such as Amazon EMR, Amazon Athena, and AWS Glue.
- Experience in working with Amazon's Compute services like Amazon Lambda, Amazon EC2, and Amazon's Storage service like S3.
- Good understanding of data warehousing concepts including dimensions, facts, schemas, and storage formats like Parquet, Avro, and ORC.
- Well-versed with compression techniques like Snappy and Gzip.
- Knowledge of at least one AWS database such as Aurora, RDS, Redshift, ElastiCache, or DynamoDB.
Benefits:
This role offers the opportunity to work on cutting-edge data engineering projects, collaborate with experienced professionals, and contribute to the growth of a leading organization. As a cloud data engineer, you will have the chance to develop your skills in a dynamic environment and advance your career in the field of data engineering.
Others:
If you are passionate about working with big data, have experience with cloud-based technologies, and are looking for a challenging role in data engineering, this could be the perfect opportunity for you.
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