Job Description

Job Description:

• Work with a scrum team(s) to deliver product stories according to priorities set by the business and the Product Owners.
• Interact with stakeholders.
• Provide knowledge transfer to other team members.Creating and testing pipeline jobs locally using aws glue interactive session.
• Performance tuning of PySpark jobs.
• AWS Athena to perform data analysis on Lake data populated into aws glue data catalog through aws glue crawlers.

Must Haves:

• Responsible for designing developing and maintaining ETL processes to support data integration and business intelligence initiatives.
• Need to closely work with stakeholders to understand data requirements and ensure efficient data flow and transformation using ETL tools and PySpark Develop and implement ETL processes using with one of ETL tool and PySpark to extract transform and load data.
• 4 years of experience in ETL development with knowledge on Pyspark
• 5 years as an ETL Developer SQL expert AWS Glue WITH Python ( PySpark )PySpark Dataframe API Spark SQL Knowledge in AWS services (e.g. DMS S3 RDS Redshift Step Function).

Nice to Haves:

• ETL development experience with tools e.g. SAP BODS Informatica.
• Good understanding of version control tools like Git GitHub TortoiseHg.
• Financial services experience Agile

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