Data Engineer at Concept Reply developing innovative data - driven solutions in IoT. Collaborating with teams to unlock the potential of data and cloud computing.
About the role
- Principal Engineer Data Architect & Analytics role at Collins Aerospace in Puerto Rico. Focus on data gathering, analysis, and implementation in hybrid working environment.
Responsibilities
- Perform data analysis using Pandas/Spark packages in Python
- Follow and complete stories/tasks in an Agile Scrum project
- Design, implement, and document CI/CD Pipelines in GitHub
- Coordinate and validate data flow/delivery with data engineering groups
- Administration of analytics and data visualization tools/environments in Databricks
- Perform code review, versioning, and production deployment
- Create visualizations in a knowledge graph tool for delivery to stakeholders
- Implement business concepts using ontology
- Understand context of technical data and how to appropriately normalize data into business metrics
- Collaborate with data governance team to implement a data dictionary
- Automate analyses and data cleaning procedures via administration of workflows
- Research machine learning libraries and algorithms for different analytics tasks
- Implement machine learning experiments and develop new algorithms
- Statistical analysis to quantify completeness and validity of a data source
- Data organization and maintenance in a cloud environment
Requirements
- Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 years of experience
- Experience in Cloud solutions
- Communication and presentation skills in English (verbal and written).
- Degree in Software Engineering, or Computer Science
- Data, analytics, and reporting experience; analytical and conceptual thinking skills
- Python coding experience using Pandas and Spark
- Aerospace industry experience
- Mentoring/Coaching experience
- SAP knowledge and experience
- Proficient in Agile methodologies
- Experience using JIRA/ Confluence
- Experience with Databricks, GitHub, AWS S3, Azure Blob Storage
- Experience in Cloud solution, design, and implementation
- Ability to influence stakeholders and to determine acceptable solutions
- Experience navigating competing priorities, achieving the highest level of engagement, and delivering successful outcomes in critical situations
- Collaborative team player who is driven to take initiative and ownership of data, analytics, and reporting, while valuing clarity, consistency and continuous improvement
- Candidates should be able to work within cross-functional teams and effectively represent solutions with senior-level leadership
Benefits
- Medical, dental, and vision insurance
- Three weeks of vacation for newly hired employees
- Generous 401(k) plan that includes employer matching funds
- Participation in the Employee Scholar Program (ESP)
- Life insurance and disability coverage
- Employee Assistance Plan, including up to 8 free counseling sessions.
- And more!
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineer creating and managing data pipelines for critical data solutions at S&P Global. Collaborating on enterprise - scale data processing in a supportive, innovative environment.
Data Engineer supporting and evolving data environment in cloud migration. Maintain and optimize existing databases while designing modern data solutions with cross - functional collaboration.
Senior Data Engineer responsible for data pipeline projects at Suprema Gaming. Focus on batch and streaming data solutions while collaborating with business teams.
Senior data leader managing the enterprise data architecture at Breakthru Beverage. Leading high - performing teams in data engineering and defining modern data strategies.
Data Engineer at Equinix implementing data architecture solutions for scalability and analytics. Collaborating with teams to design data pipelines and maintain data models for business objectives.
Data Warehouse Architect developing and optimizing robust data warehouse environments on SAP BW/4HANA. Critical for enabling advanced analytics and reporting across the organization.
Data Engineering Manager leading a new Data Engineering team in Bengaluru. Shaping the design and scaling of core data engineering practices across the organization.
Senior Google Data Architect designing and delivering scalable data solutions on Google Cloud Platform. Collaborating across teams to shape target - state data architectures and influence enterprise data strategy.
Sr. ETL/Data Warehouse Lead at Huntington designing, developing, and supporting ETL and Data Warehousing framework. Analyzing systems based on specifications and providing technical assistance.