Senior AWS Data Engineer
New
Mumbai, MHFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 3+ years
- Required Skills
- AWSSQLApache AirflowSnowflakePySpark
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 3+ years of experience working with PySpark and SQL.
- 2+ years of experience building and maintaining data pipelines using Amazon EMR or Amazon Glue.
- 2+ years of experience with data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto.
- 1+ years of experience building and maintaining the orchestration of data pipelines using Airflow.
- Strong problem-solving and troubleshooting skills.
- Excellent communication and collaboration skills.
- Ability to work independently and within a team environment.
Responsibilities
- Develop and maintain data pipelines using Amazon EMR or Amazon Glue.
- Create data models and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto.
- Build and maintain the orchestration of data pipelines using Airflow.
- Collaborate with other teams to understand their data needs and help design solutions.
- Troubleshoot and optimize data pipelines and data models.
- Write and maintain PySpark and SQL scripts to extract, transform, and load data.
- Document and communicate technical solutions to both technical and non-technical audiences.
- Stay up-to-date with new AWS data technologies and evaluate their impact on our existing systems.
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