Technical Specialist - Data Engineer

Job Title- Technical specialist- Data Engineer

Role Description

An Engineer is responsible for designing, developing and delivering significant components of engineering solutions to accomplish business goals. Key responsibilities of this role include active participation in the design and development of new features of application enhancement, investigating re-use, ensuring that solutions are fit for purpose and maintainable, and can be integrated successfully into the overall solution and environment with clear, robust and well tested deployments. Assists more junior members of the team and controls their work where applicable.

Your key responsibilities

• Develops and deploys source code, including infrastructure and application related configurations, for all Software Components in accordance with Detailed Software Requirements specification.
• Provides Development activities for Projects and technical infrastructure components (i.e., Java+Python, Apache Beam/ Spark configurations and Security, Data Workflows on-premise /cloud, Infrastructure as a Code) and source code development.
• Debugs, fixes and provides support to L3 team.
• Verifies the developed source code by reviews (4-eyes principle).
• Contributes to quality assurance by writing and conducting unit testing.
• Ensures architectural changes (as defined by Architects) are implemented.
• Contributes to problem and root cause analysis.
• Integrates software components following the integration strategy.
• Verifies integrated software components by unit and integrated software testing according to the software test plan. Software test findings must be resolved.
• Work on technical continuous improvements across the modules regularly
• Where applicable, develops routines to deploy CIs to the target environments.
• Provides Release Deployments on non-Production Management controlled environments.
• Supports creation of Software Product Training Materials, Software Product User Guides, and Software Product Deployment Instructions.
• Checks consistency of documents with the respective Software Product Release.
• Where applicable, manages maintenance of applications and performs technical change requests scheduled according to Release Management processes.
• Fixes software defects/bugs, measures and analyses code for quality.
• Collaborates with colleagues participating in other stages of the Software Development Lifecycle (SDLC).
• Identifies dependencies between software product components, between technical components, and between applications and interfaces.
• Identifies product integration verifications to be performed based on the integration sequence and relevant dependencies.

General Skills

• Bachelor of Science degree from an accredited college or university with a concentration in Computer Science or Software Engineering (or equivalent) with a minor in Finance, Mathematics or Engineering.
• Strong analytical skills.
• Proficient communication skills.
• Fluent in English (written/verbal).
• Ability to work in virtual teams and in matrixed organizations.
• Excellent team player.
• Open minded.
• Keeps pace with technical innovation.
• Understands the relevant business area
• Ability to share information, transfer knowledge and expertise to team members.
• Ability to design and write code in accordance with provided business requirements
• Ability to contribute to QA strategy and Architecture decisions.
• Knowledge of IT delivery and architecture including knowledge of Data Modelling ,data analysis.
• Relevant Financial Services experience.
• Ability to work in a fast-paced environment with competing and alternating priorities with a constant focus on delivery.
• Ability to balance business demands and IT fulfilment in terms of standardization, reducing risk and increasing IT flexibility.

Domain Specific Skills

Desirable are one or more of the following subject areas:

• Very Good knowledge of the following technologies are needed:
• Java / Scala
• Apache Spark / Apache Beam
• GCP (Data Engineering services)
• Workflow orchestrators like Airflow
• Automation through Python/ Terraform
• Good to have - AI/ ML, Data analysis, Python development
• Very good Knowledge about the core processes / tools such as HP ALM, Jira, Service Now, SDLC, Agile processes.