Top 5 Datastage conversion Jobs in United States

Test - AWS Redshift Data Architect
CitiusTech Inc —Dallas, TX
- Remote
- Mid-level
- 3 years
- SQL
12d
Software Developer
FatPipe Technologies —Salt Lake City, UT
- Azure
- Computer Science
- 5 years
Senior Data Engineer
NYC EMPLOYEES RETIREMENT SYS —New York, NY
- $140,000 - $150,000 a year
- Full-time
- Computer Science
- Data analysis skills
- System design
- Loan forgiveness
4d
Data Bricks Migration and Support engineer
Tata Consultancy Services —Seattle, WA
- $120,000 - $140,000 a year
- Computer Science
- Analysis skills
- Bachelor's degree
- Commuter assistance
- Health insurance

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datastage conversion jobs near united states

Job ID: 834028

1 Opening

Dallas TX, Dallas TX, Remote (USA)

Experience in data architecture, with at least 3 years on AWS Redshift.
Strong expertise in Redshift internals, Spectrum, RA3 nodes, and concurrency scaling.
Proficient in SQL performance tuning, workload management.
Experience with AWS services: S3, DataZone, IAM, CloudWatch, CloudTrail.
Familiarity with ETL tools (DataStage, Alteryx) and BI tools (Tableau).
Hands-on experience with schema conversion tools (SCT) and data migration strategies.
Knowledge of data governance, cataloging, and metadata management.
Excellent communication and stakeholder management skills

Lead the design and architecture of AWS Redshift clusters, including sizing, workload management, and security.
Define and implement data modeling strategies aligned with business and analytical requirements.
Collaborate with ETL, BI, and ML teams to ensure seamless integration with DataStage, Alteryx, Tableau, and SageMaker.
Oversee schema migration from Teradata using AWS SCT and DMS tools.
Drive performance tuning of Redshift queries, workloads, and resource management.
Implement security best practices, including IAM roles, encryption, and access control.
Support data validation and reconciliation efforts.
Provide technical leadership and guidance to data engineers and developers.
Participate in code reviews, design sessions, and architecture governance forums.
Collaborate with stakeholders to define and implement data governance, lineage, and metadata strategies.