TEAM YOU WILL BE JOINING
- Enterprise Data Analytics team responsible for enabling data-driven decision making across the organization.
- Team collaborates closely with IT, data scientists, business stakeholders, and governance teams to deliver scalable analytics solutions.
- Operates within a hybrid data ecosystem leveraging Azure cloud, Oracle technologies, and on-premise infrastructure.
- Focused on building modern data pipelines, enterprise data products, and analytics capabilities that power business intelligence and advanced analytics initiatives.
- Opportunity to design and build modern enterprise data platforms in a hybrid cloud environment.
- High visibility role partnering with business leaders, architects, and analytics teams to drive strategic decisions.
- Exposure to modern data tools including Azure Synapse, Data Lakes, Azure ML, SQL Server, SSIS/SSAS, and Power BI.
- Collaborative environment where engineers influence data architecture, governance, and analytics strategy.
- Design, build, and maintain scalable ETL/ELT data pipelines across cloud and on-premise environments.
- Develop and manage data models, data structures, and integrated datasets supporting analytics and reporting.
- Partner with business stakeholders to translate data needs into technical solutions that enable data-driven decisions.
- Improve data accessibility, quality, and governance across enterprise data assets.
- Support data science initiatives by preparing datasets and integrating analytics outputs into business processes.
- Research and evaluate modern data technologies and ingestion frameworks to enhance analytics capabilities.
- Act as a data evangelist, promoting best practices and helping teams leverage data for operational and strategic insights.
- 5+ years of experience in data engineering, data integration, or data platform development.
- Strong experience building ETL/ELT pipelines and data architectures supporting large-scale datasets.
- Hands-on expertise with SQL and Python for data transformation and analysis.
- Experience with Azure data ecosystem including Synapse, Data Lakes, Azure ML, or similar tools.
- Familiarity with SQL Server, SSIS, SSAS, and Power BI for data modeling and analytics delivery.
- Experience working with large, heterogeneous datasets and data integration technologies such as APIs, CDC, or messaging frameworks.
- Ability to collaborate with technical teams and business stakeholders to deliver data-driven solutions.
- Bachelor’s degree in Computer Science, Information Systems, Data Management, or related quantitative field.
