ETL AWS Glue - Senior Engineer @ Iris Software

Key Responsibilities:

• Build and maintain data architectures pipelines for the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehouse and data lakes that manage the appropriate data volumes
• Adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.

Mandatory Skills

• 5+ years of hands-on strong experience in ETL , Glue, Python, AWS services such as S3, Lambda, CloudWatch, and IAM
• Hands-on experience in creating, optimizing, and monitoring Glue jobs and workflows is essential
• Very good knowledge of Datawarehouse, ETL concepts, Unix commands and shell/bash script
• Proficient in SQL, data modeling, and performance tuning
• Strong knowledge of Oracle database, SQL queries, performance tuning of queries
• Experience with Agile (Scrum) methodology and software development approach
• Must come financial services/capital markets/investment banking
• Great interpersonal and communication skills
• Can work independently with minimum supervision
• Good Communication and analytical skills
• Flexible and adaptable working style to work with multiple stakeholders
• Open to work in UK Shift (10 AM to 9 PM IST with 8 hours of productive work)

Desirable

• Prior experience of working with Pyspark would be an added advantage.
• Financial domain knowledge withexperience in handling high data volume business cases
• Certification in Banking domain

Education Qualification: B.Tech or MCA