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About
At Fusion Connect, we're not just offering jobs we're building careers that empower, inspire, and grow with you. If you're passionate about making an impact, collaborating with forward-thinking teams, and being part of a company that values your voice, you're in the right place. We're thrilled you're exploring this opportunity with us take a look, imagine the possibilities, and let's shape the future of connectivity together. We are seeking a skilled Data Engineer to join our Business Intelligence (BI) team. In this role, you will play a crucial part in building and optimizing the infrastructure that powers data-driven decision-making across the organization. You will work closely with BI analysts and business stakeholders to ensure reliable, timely, and actionable insights through scalable data pipelines and robust data models. Key Responsibilities Design, build, and maintain
scalable ETL/ELT pipelines to support BI and analytics use cases. Collaborate with BI analysts
and business stakeholders to understand data needs and translate them into technical requirements. Develop and manage data models
and data marts that enable efficient reporting and analysis. Ensure
data quality, integrity, and governance
across all BI datasets. Optimize data workflows for
performance, scalability, and cost-efficiency
in cloud and/or on-prem environments. Integrate data from multiple sources including internal systems (ERP, CRM, operational databases) and third-party APIs. Monitor and troubleshoot data pipelines and workflows to ensure timely data availability. Implement and maintain
metadata management, data lineage, and documentation
for transparency and compliance. Support the BI team in developing dashboards, reports, and self-service analytics tools. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. 3+ years of experience in data engineering, preferably supporting BI or analytics functions. Proficient in
SQL
and experience with other programming languages (e.g., Python). Hands-on experience with
ETL tools
and
data integration patterns . Experience with
data warehousing platforms Familiarity with
BI tools
such as Tableau and Power BI. Strong understanding of
data modeling techniques Experience working in
cloud environments
(AWS, GCP, or Azure). Preferred Qualifications Experience with
CI/CD pipelines
for data workflows. Familiarity with
data governance frameworks
and
privacy regulations
(e.g., GDPR, CCPA). Understanding of
agile methodologies
and experience working in cross-functional teams. Strong problem-solving skills and the ability to communicate technical concepts to non-technical audiences.
Languages
- English
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