This position will

• Implement, maintain and optimize bulk and streaming data pipelines
• Deployment and monitoring of data processing jobs on Spark or ETL tools like DataStage, ODI, Informatica, etc.
• Paying high attention to correctness, freshness, and monitoring of the data as a top priority
• Work with cross-functional teams for delivering data lakes, modeling when validated and required for multiple uses
• Work with BI developers to provide data for BI reports and dashboards
• Work with data scientists to help them deliver real-time/batch running models with high performance
• Designing and scaling data ingestion systems with high availability and reliability
• Improving the performance of the data pipelines by tuning SQLs and managing distributed systems.

Requirements

• Degree in a field such as mathematics, statistics, computer science, or related
• 5 years + experience for the related responsibilities
• Strong mathematical and analytical skills with a data perspective
• Knowledge on software development, data engineering, and infrastructure architecture
• Multitasking skills for data management strategies
• Experience in ETL/ELT development using Datastage, ODI, Informatica, etc.
• Strong SQL knowledge and experience working with relational databases and data storage tools (Oracle, Teradata, etc.)
• Experience in creating data pipeline
• Experience in supporting and working with cross-functional teams in a dynamic environment with multiple stakeholders
• Experience in cloud migration is a plus
• Experience in AWS, GCP, or Azure is a plus
• Experience in Data Governance and Data Quality implementation is a plus

Other Requirements

• Minimum Bachelor’s Degree at related fields
• Good command of the English language