IT - Technology Architect | Data Management - Data Integration | DataStage

Ampcus Inc
Charlotte, NC, United States
18 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Data Integration IBM InfoSphere DataStage Python (Programming Language) Standard Sql Software Engineering SQL Databases Snowflake Data Management

Requirements

Job Details Must Have Skills

  • DataStage
  • SQL
  • AWS

Nice to Have Skills

  • DataStage
  • SQL

Detailed Job Description

Candidate should possess the following skills and capabilities:

  • Proficiency in DataStage, SQL, and AI skills
  • Experience with AWS, Snowflake, and Python
  • Knowledge of DBT
  • Ability to interact and coordinate effectively with clients
  • Capability to manage offshore resources
  • Experience working with onsite and offshore team members and clients
  • Expertise in delivery coordination
  • Experience managing complex software application development and support projects
  • Strong communication skills

Minimum Years of Experience

More than 10 years Certifications Needed

No Top 3 Responsibilities

  • Possess DataStage and SQL skills
  • Have AWS, Snowflake, Python, and DBT skills
  • Exhibit AI skills

About the company

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

4:06 min

Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

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