We are seeking an experienced Data Engineer to join our team and contribute to a variety of digital transformation and data-driven projects. The successful candidate will design, build, and maintain modern data solutions that enable analytics, improve service delivery, and support business decision-making.

Responsibilities

Data Engineering

• Design, build, and maintain data pipelines across on-premises and cloud platforms (Azure, AWS, GCP).

• Create and optimize dimensional models (star and snowflake schemas) to support scalable reporting and analytics.

• Integrate data from diverse sources including SQL/NoSQL databases, APIs, and files while ensuring accuracy, completeness, and reliability.

• Develop and optimize ETL/ELT workflows using tools such as SSIS and Azure Data Factory, including scheduling, logging, and error handling.

• Automate deployment and testing using Git, CI/CD pipelines, containerization (Docker/Kubernetes), and Infrastructure as Code (Terraform, ARM, CloudFormation).

• Manage data lakes and warehouses with strong data governance, access controls, and security best practices.

• Build curated data marts and fact/dimension tables to enable self-service analytics.

Data Analytics

• Analyze large datasets to identify patterns, trends, and insights using Python, R, SQL, or DAX.

• Develop interactive dashboards and reports using Power BI or similar visualization tools.

• Build predictive and descriptive models to inform business strategy and improve outcomes.

• Translate complex data into clear, actionable insights for both technical and non-technical stakeholders.

• Deliver analytics solutions iteratively in an Agile environment, mentoring team members where appropriate.

Must-Have Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

• 5+ years experience as a Data Engineer, Data Analyst, or in a similar role.

• 5+ years working with data integration and extraction across on-premises and cloud sources.

• 3+ years designing and implementing dimensional models (star/snowflake).

• 3+ years ensuring data quality, governance, and security.

• 3+ years with SSIS, Azure Data Factory, and API-based integrations.

• 2+ years using Git, CI/CD pipelines, containerization (Docker/Kubernetes), and IaC.

• 2+ years performing migrations across cloud, on-premises, and cross-database environments.

Nice to Have

• Experience with application development (Next.js, Node.js, D3.js, GitHub Actions, Build Master).

• Experience with databases and data integration tools (PostgreSQL, MongoDB, Azure Cosmos DB, Azure Synapse, Talend).

• Exposure to AI/ML workflows and cloud-based integration (e.g., Databricks, Azure AI).

We’re an equal opportunity employer committed to increasing diversity and inclusion in today’s workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Minorities, women, LGBTQ candidates, and individuals with disabilities are encouraged to apply. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions.