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Responsibilities

Monitor and support daily ELT pipelines and reporting processes.
Design, document, and maintain data warehouse models as source systems evolve.
Develop and maintain semantic-layer and business intelligence data models.
Support month-end reporting and recurring business processes.
Improve and prepare data assets for AI-enabled workflows and automation initiatives.
Design data transformations that enhance data quality, consistency, accessibility, and usability.
Troubleshoot data issues and support analytics requests across the organization.
Serve as the primary technical resource for analytics infrastructure and reporting systems.
Prepare internal metrics, analytics, and leadership reporting.

Collaborate with stakeholders on data-driven initiatives and continuous improvements.

Requirements

4+ years of experience in analytics engineering, data engineering, business intelligence, analytics, or related fields.
Strong understanding of data warehousing, dimensional modeling, and semantic-layer concepts.
Experience building and maintaining ELT/ETL pipelines.
Strong SQL and data modeling skills.
Experience working with software engineering workflows and source control.
Strong communication, documentation, and stakeholder management skills.
Hands-on experience with dbt, Amazon Redshift, Amazon QuickSight, AWS, Python, GitHub, Docker, and SQL.
Advanced English.

Nice to Have

Experience with CI/CD workflows.
Knowledge of data governance practices and experience in healthcare, finance, or other regulated industries.

About Us

AssureSoft is a multinational software development and informatio

Data Analytics and Operations Engineer

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