Job Description
Data Engineering Specialist
If you are an experienced
Data Engineering professional passionate about building data solutions and looking for an opportunity to grow, Emerson has an exciting opportunity for you. To be successful in this role, you will need to apply logical data modelling, development, and engineering skills using the latest technology stack we have in place along with managing projects and deliverables such as Microsoft Azure Cloud Platform.
AS A DATA ENGINEER, YOU WILL:
- Work closely with key stakeholders to understand business needs and translate them into technical requirements that would feed into developing effective data analytics solutions.
- Design and implement end-to-end data solutions in collaboration with other technical and functional teams.
- Design, build, and maintain data pipelines using Azure Data Factory, Azure Databricks, and other relevant Azure services.
- Integrate data from various sources (on-premises and cloud) into Azure Data Lake Storage, Azure SQL Data Warehouse, or other Azure data storage solutions.
- Develop data transformation processes using tools like Azure Data Factory, Azure Databricks, SQL, TSQL and Python to clean, enrich, and prepare data for analysis.
- Monitor and optimize data pipelines and database performance for efficiency and scalability.
- Implement data security best practices and ensure compliance with data privacy regulations.
- Possess deep technical knowledge of various data warehousing and analytics frameworks.
- Review and revise existing software development lifecycle and code standards.
- Work closely with the data analytics leadership to publish service and product roadmaps.
- Work on SharePoint and Power BI tools to manage, analyse and deduce data insights.
- Act as a point of escalation for complex operational issues to ensure optimal performance of analytics systems.
WHO YOU ARE:
You anticipate customer needs and provide services that are beyond customer expectations. You understand interpersonal and group dynamics and react in an effective manner. You encourage others to learn and adopt new technologies. You show a tremendous amount of initiative in tough situations and are exceptional at spotting and seizing opportunities. You promote high visibility of shared contributions to goals.
REQUIRED EDUCATION, EXPERIENCE, & SKILLS:
- Bachelor's degree in computer science/information technology or equivalent
- Must have a minimum of 3-5 years of experience in a Data Engineering role with experiences with:
- Strong Relational (SQL) databases, TSQL/PLSQL skills.
- Knowledge of data modelling, data warehousing like Oracle, SQL, and Snowflake, and ETL processes.
- Proficiency in Azure Data Factory, Azure Databricks, Azure SQL Data Warehouse, and other Azure data services.
- Familiarity with data lakes, data governance, and data security.
- SharePoint Online and Power BI
- Technical expertise in data modelling, data mining, and segmentation techniques
- Experience with building new and troubleshooting existing data pipelines using tools such as Pentaho Data Integration
- Experience with batch and real-time data ingestion and processing frameworks
- Experience with languages such as Python and Java
- Knowledge of additional cloud-based analytics solutions
- Hands-on experience working on Linux and Windows systems.
- Excellent problem-solving and communication skills.
- Using Agile development methods
- Azure certifications (e.g., Microsoft Certified: Azure Data Engineer Associate) are a plus.
- Ability to work in a large, global corporate structure.
- Ability to lead, manage and deliver large scale projects.
- Advanced English level
- Demonstrated ability to clearly isolate and define problems, effectively evaluate alternative solutions, and make decisions in a timely manner.
- Good decision-making ability, ability to operate in ambiguous situations, and high analytical ability to judge pros/cons of approaches against objectives.
PREFERRED EDUCATION, EXPERIENCE, & SKILLS:
- Expert level knowledge of data analytics and warehousing frameworks, including Snowflake and Cloud-based data integration solutions.
- Experience with DevOps and CI/CD development practices
- Advanced level of software development knowledge
COMPETENCIES:
- Strategic Mindset
- Tech Savvy
- Nimble Learning
