Job description
The Data Engineer, Analytics will work with stakeholders – both business and IT to review functional and non-functional requirements, design, develop and support business and artificial intelligence solutions involving Big Data and Microsoft Azure technologies that align with and support the business and Technology Organization strategy and standards. Additionally, this position will be responsible for management and alignment of solutions across all technology platforms working closely with Architects, data and infrastructure teams to optimize application code, ensuring data integrity, security, stability, resiliency, sustainability, growth and performance.
This position will be focused on supporting existing data integration and analytics solutions as well as designing and developing new solutions. Additionally, the Data Engineer is expected to participate in knowledge sharing and own technical issue resolution.
The Data Engineer, Analytics will work with stakeholders – both business and IT to review functional and non-functional requirements, design, develop and support business and artificial intelligence solutions involving Big Data and Microsoft Azure technologies that align with and support the business and Technology Organization strategy and standards.
This position will be focused on supporting existing data integration and analytics solutions as well as designing and developing new solutions. Additionally, the Data Engineer is expected to participate in knowledge sharing and own technical issue resolution.
- 8+ years hands-on experience with full life-cycle implementation and support of DW/BI solutions.
- 3+ years hands on experience designing, developing, testing, deploying and supporting data engineering and analytics solutions using Microsoft cloud-based tools such as Azure Data Lake, Azure Data Factory, Azure Databricks, Python, Azure Synapse, Azure Key Vault and Power BI.
- Experience in creating functional and technical designs for data engineering and analytics solutions.
- Experience to implement data models of different schemas and working with diverse data source types.
- Hands-on experience developing solutions with big data technologies such as Hadoop, HIVE and Spark.
- Hands-on experience developing and supporting Python based AI/ML solutions.
- Hands-on experience developing automation solutions using tools such as Autosys.
- Experience with Containerization methodologies – Docker, OpenShift etc.,
- Experience with Agile as well as DevOps, CI/CD methodologies
- Experience with microservices such as kubernetes
- Experience with designing re-usable solution components and perform code-reviews
- Experience working in a medium to large enterprise setting and collaborating with multiple cross-functional teams
- Experience working on concurrent assignments on multiple projects.
When you join Serta Simmons Bedding, you become part of our 220-year legacy of sleep solutions with endless opportunities to impact our future for centuries to come.
Once you’re here, you’ll be part of a winning company that invests and supports our team members’ career journeys. We offer competitive benefits, job training, learning and development, and other employee perks such as our employee discount on all products.
Nearest Major Market: Madison
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