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Senior Data Engineer
Kalypso It Solutions
posted 15d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
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 allow DA&I solutions and services throughout the company. This role is DA&Is competitive advantage to delivering business outcomes via relevant analytics, decision and help our businesses recognize value and here to shape how we provide 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 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
- Helps support and enhance applications
- Writes high-quality code compliant with regulations
- Collaborates with business systems analysts and product owners to define requirements
Skills, Knowledge, Experience and Education
- Bachelors Degree in computer science, software engineering, management information systems, or related field
- Experience range 6+ years
- 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
IPC - Information Processing Capability (Factors of Complexity)
- Ability to work on issues of moderate scope where analysis of situations or data requires a review of relevant factors.
- Exercise judgment within defined procedures and practices to determine appropriate action.
- Seek out and embrace relevant perspectives when assessing a situation or making a decision; demonstrate clear understanding of multiple viewpoints
Benefits:
The ability to collaborate with, learn from colleagues in a complex, global organization.
We provide a working environment with a creative company, paired with a great compensation package, great benefits, and a supportive atmosphere where you can sharpen with new challenges and development opportunities.
Corporate Social Responsibility opportunities,
Support from our 24/7 employee assistance program
Employment Type: Full Time, Permanent
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based on 2 employees
Flexible timing
Monday to Friday
No travel
Kalypso It Solutions Benefits
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