
AWS Cloud Data Engineering Specialist
1 day ago
Key Responsibilities:
- We are seeking a skilled Data Engineer to design, develop, test, and support data pipelines and applications using AWS services.
- The ideal candidate will have strong understanding and hands-on experience with AWS services including EC2, S3, EMR, Glue, Redshift.
- This role involves developing and maintaining applications using Python and PySpark for data manipulation, transformation, and analysis.
- The successful candidate will lead and manage projects, including planning, execution, testing, documentation, and customer interaction.
Requirements:
- A minimum of 5 years of working experience in data integration and pipeline development.
- 5+ years of experience with AWS Cloud on data integration using a mix of Apache Spark, Glue, Kafka, Kinesis, and Lambda in S3 Redshift, RDS, MongoDB/DynamoDB ecosystems.
- 3+ years of experience using SQL in related development of data warehouse projects/applications (Oracle & SQL Server).
- Strong real-life experience in Python development especially in PySpark in AWS Cloud environment.
- Strong SQL and NoSQL databases like MySQL, Postgres, DynamoDB, Elasticsearch Workflow management tools like Airflow.
Good to Have:
- Snowflake, Palantir Foundry.
Benefits
This role offers the opportunity to work with cutting-edge technology and collaborate with a talented team.
Why Join Us?
We are dedicated to innovation and excellence in our field. If you are passionate about data engineering and looking for a challenging role, we encourage you to apply.
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