Data Engineer

Remote Full Stack Data Engineer

We need full stack engineering professionals with a passion for technology to drive innovative solutions.

The Full Stack Data Engineer will design, develop, and deliver reliable, scalable data management (acquisition, integration, transformation) using DevOps methodologies and DA&I Microsoft PaaS platforms. Design and enable DA&I solutions and services throughout the company. This role is DA&I’s competitive advantage to delivering business outcomes via actionable analytics, decision intelligence and help our businesses recognize value and here to shape how we deliver analytics solutions going forward.

The Data Engineer is multi-skilled engineer who helps to estimate work, accept stories into delivery increments and complete tasks to deliver the work. Is proficient in Source Data Analysis, profiling, integration, modelling. Has expertise in data management technologies such as SAP data services, Azure ADF, ADLS, Databricks, SQL DB, Open source data management tools or equivalent.

Key Responsibilities:

• Designs, codes and tests new data management solutions, including supporting applications and interfaces.
• Architects data structures to provision and enable “Data as a Service”.
• Supports cross-functional development activity in various DA&I and Connected Enterprise related projects, for internal and external customers
• Develops and tests infrastructure components in Cloud and Edge-level environments
• Proactively monitors industry trends and identifies opportunities to implement new technologies
• Manages the DevOps pipeline deployment model
• Implements software in all environments
• Leverages containerization models and works with other engineers and architects to keep the architecture current
• Assists in the support and enhancement of applications
• Writes high-quality code compliant with regulations
• Collaborates with business systems analysts and product owners to define requirements

Skills, Knowledge, Experience and Education

Bachelor’s Degree in computer science, software engineering, management information systems, or related field

Experience in systems development lifecycle

Experience in Data management concepts and implementations

Experience with Agile development methodologies and system/process documentation

Experience with server-side architectures and containerization

Experience with SAP Data Services, Azure ADF, ADLS, SQL, Tabular models, or other domain-specific programming languages

Familiarity with business concepts and impact of data on business processes

Experience managing multiple projects simultaneously

Excellent interpersonal, verbal and written communication skills

Ability to adapt quickly to new technologies and changing business requirements

Solid problem-solving skills, attention to detail, and critical thinking abilities

Required Skills : - Azure -Azure Data bricks - AzureData factory - Python - Spark - Unit Testing exp Basic Qualification : Additional Skills : Background Check :YesNotes :- Candidates will likely extend out after 6 months - it is performance based.