Senior Data Engineer

About the Team:
We are looking for a Senior Information Security Engineer to join our dynamic team. This role provides an opportunity to lead projects and contribute to high-impact software solutions that are used by enterprises and users worldwide. As a Senior Software Engineer, you will be responsible for the design, development, testing, deployment, and maintenance of complex software systems, as well as mentoring junior engineers. You will work in a collaborative environment, contributing to the technical foundation behind our flagship products and services.
We are seeking engineers with diverse specialties and skills to join our dynamic team to innovate and solve complex challenges. Our team is looking for strong talent with expertise in the following areas:
Analysing large and complex datasets related to information security, identifying trends, detecting anomalies, and providing actionable insights to enhance our security posture. This role requires a deep understanding of information security principles, strong analytical skills, and proficiency in handling big data technologies.

Responsibilities:
Software Development: Write clean, maintainable, and efficient code or various software applications and systems.
Technical Leadership: Contribute to the design, development, and deployment of complex software applications and systems, ensuring they meet high standards of quality and performance.
Project Management: Manage execution and delivery of features and projects, negotiating project priorities and deadlines, ensuring successful and timely completion, with quality.
Architectural Design: Participate in design reviews with peers and stakeholders and in the architectural design of new features and systems, ensuring scalability, reliability, and maintainability.
Code Review: Diligent about reviewing code developed by other developers, provide feedback and maintain a high bar of technical excellence to ensure code is adhering to industry standard best practices like coding guidelines, elegant, efficient and maintainable code, with observability built from ground up, unit tests etc.
Testing: Build testable software, define tests, participate in the testing process, automate tests using, tools (e.g., Junit, Selenium) and Design Patterns leveraging the test automation pyramid as the guide.
Service Health and Quality: Maintain the health and quality of services and incidents, proactively identifying and resolving issues. Utilize service health indicators and telemetry for action providing recommendations to optimize performance. Conduct thorough root cause analysis and drive the implementation of measures to prevent future recurrences.
Dev Ops Model: Understanding of working in a DevOps Model. Taking ownership from working with product management on requirements to design, develop, test, deploy and maintain the software in production.
Documentation: Properly document new features, enhancements or fixes to the product, contributing to training materials.

Qualifications-
Basic Qualifications:
Bachelors degree in computer science, Engineering, or a related technical field, orequivalent practical experience.
5+ years of professional software development experience in analysis, design, build, deployment, and support of Integration components for UKG EDW using Azure Stack and any other ETL tool (e.g. Informatica )
Proficient in Python and SQL
Strong knowledge of Data warehousing and ETL concepts
Well versed with Production support processes
Mentor Junior Team members for technical and functional knowledge
Effectively communicate insights and recommendations to business stakeholders through visualizations, presentations, and other storytelling methods.
Understanding of DevOps principles.
Partner with product managers, data scientists, data engineers, as well as internal data source teams to ensure that data analysis work is properly scoped, planned, and executed.
Ensure the quality, governance, and standards of data by developing and implementing data management policies and procedures.
Passion for problem-solving, comes with an analytical mindset with critical-thinking, and data skills.
Awareness of software engineering principles, ability to develop and deploy appropriate analytic code.

Preferred Qualifications:
Develop and implement data models and techniques to detect security incidents and vulnerabilities.
Integration tools - Azure ADF/ Apache Airflow Informatica CloudINFORMATICA PowerCenter
Strong technical skills in SQL, Python, R, or other programming languages commonly used in data analysis.
Hands-on knowledge in working with distributed datastores (e.g., SQL, NoSQL), and Big Data and Cloud technologies like GCP BQ.