Data Integration Engineer — ETL & Analytics

Acxiom

Województwo pomorskie

On-site

PLN 120,000 - 210,000

Full time

2 days ago
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Job summary

Acxiom is seeking a Data Engineer to design and build enterprise service components, collaborating with diverse teams to ensure alignment of information and technology strategies across integration, data provisioning, and analytics. The role emphasizes creating robust schemas, ETL processes, and scalable data solutions.

The candidate will contribute to the design and architecture of services across the data landscape, mentor colleagues, and drive quality across development cycles, while aligning

Qualifications

  • Bachelor's Degree or 8+ years of relevant work experience.
  • Experience developing DB schemas and creating ETLs.
  • Proficient with T-SQL, Python, SSIS, SSAS, SSRS, SnapLogic, Workday Studio, SOAP, REST, and XSLT.
  • Experience designing and implementing Enterprise Integrations and Business Process Automation.
  • Familiar with ITIL and industry best practices.

Responsibilities

  • Gathers functional requirements, develops technical specifications, and designs testing approaches.
  • Leads and mentors teams for high and moderate complexity work.
  • Defines strategy for services in collaboration with management and partners.
  • Ensures alignment of IT services to Acxiom's overall strategy.
  • Resolves defects during QA, pre-prod, prod, and post-release patches.

Skills

Strong communication
Mentorship

Education

Bachelor's Degree or 8+ years of relevant work experience

Tools

T-SQL
Python
SSIS
SSAS
SSRS
SnapLogic
Workday Studio
SOAP
REST
XSLT

Job description

Acxiom is seeking a Data Engineer to design and build enterprise service components, collaborating with diverse teams to ensure alignment of information and technology strategies across integration, data provisioning, and analytics. The role emphasizes creating robust schemas, ETL processes, and scalable data solutions.

The candidate will contribute to the design and architecture of services across the data landscape, mentor colleagues, and drive quality across development cycles, while aligning

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