Data Engineer - Pyspark

3 - 7 years

0 Lacs

Posted:6 days ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

The ideal candidate for this position should have advanced proficiency in Python, with a solid understanding of inheritance and classes. Additionally, the candidate should be well-versed in EMR, Athena, Redshift, AWS Glue, IAM roles, CloudFormation (CFT is optional), Apache Airflow, Git, SQL, Py-Spark, Open Metadata, and Data Lakehouse. Experience with metadata management is highly desirable, particularly with AWS Services such as S3. The candidate should possess the following key skills: - Creation of ETL Pipelines - Deploying code in EMR - Querying in Athena - Creating Airflow Dags for scheduling ETL pipelines - Knowledge of AWS Lambda and ability to create Lambda functions This role is for an individual contributor, and as such, the candidate is expected to autonomously manage client communication and proactively resolve technical issues without external assistance.,

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