Top Must Haves:
- Experience working with large-scale data pipelines and cloud infrastructure (cloud ETL tools like Glue etc., and Data Warehousing solutions like Redshift etc.,)
- Knowledge of Deploying and maintaining cloud-based infrastructure for data workflows (e.g., AWS, GCP, Azure, RedShift)
- Strong technical expertise in Cloud applications, Data ingestion, and Data Lake architecture.
- 5 years of extensive hands-on experience in building ETL interfaces using DataStage version 11.3 and higher version to aggregate, cleanse and migrate data across enterprise-wide Big Data, and Data Warehousing systems using staged data processing techniques, patterns, and best practices.
- Combined 4 years of experience of advanced SQL and stored procedures (in DB2, SQL Server, and Oracle Database Platforms) with hands-on experience of designing solutions for optimal performance and handling other non-functional aspects of availability, reliability, and security of DATASTAGE ETL Platform
DELIVERABLES OR TASKS:- Recommend the good practice on ETL process to extract data from disparate source transaction systems, transform and enrich the data, and load it into specific data models that are optimized for analysis and reporting.
- Facilitate the best-in-class data integration platform.
- Recommend and implement features in Data Stage 11.7 for Optimization.
- Recommend the training and mentoring plans for the transition of knowledge to current employees.
- Delivery of quality results of tasks and assignments.
CORE COMPETENCIES:- Act with integrity
- Use sound judgement
- Commitment to quality
- Demonstrate adaptability
- Innovate
- Think strategically
- Communicate effectively and influence others
- Work well both independently and as part of a team
A reasonable, good faith estimate of the minimum and maximum hourly wage for this position is $55/hr. to $60/hr. on W2.
Benefits will be available, and details are available at the following link: https://rb.gy/foel75.
