Lead impactful projects at a leading technology firm, driving innovation in AI-powered analytics workflows. Architect intelligent systems to unlock data value and enhance decision-making processes. Collaborate with cross-functional teams in a dynamic, hybrid work environment.
Data And Integration Engineer
in Information Technology PermanentJob Detail
Job Description
Overview
- Contribute to the development of a cutting-edge data and automation platform for a leading technology firm.
- Architect intelligent systems that integrate structured and unstructured data for actionable insights.
- Collaborate with cross-functional teams to design AI-powered analytics workflows and tools.
- Utilize advanced technologies to automate data pipelines and enhance decision-making processes.
- Apply expertise in data engineering and analytics automation to drive innovation and efficiency.
- Work in a hybrid environment with opportunities for onsite collaboration and remote flexibility.
- Engage with emerging technologies to stay ahead in AI analytics and data engineering.
Key Responsibilities & Duties
- Develop and maintain cross-system data integrations using low-code and programmatic frameworks.
- Design AI-assisted analytics workflows for data extraction, enrichment, and summarization.
- Orchestrate data pipelines blending structured and unstructured data for analytical purposes.
- Automate testing, validation, deployment, and monitoring of analytics workflows.
- Collaborate with stakeholders to design automated solutions delivering measurable insights.
- Prototype and productionize AI-driven data tools for natural language analytical queries.
- Document and scale best practices for automation and data reliability.
- Stay updated on emerging technologies in AI analytics and data engineering.
Job Requirements
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or equivalent experience.
- Minimum of 7 years of experience in data engineering, analytics automation, or systems integration.
- Proficiency in SQL, Python, and low-code iPaaS tools such as Workato or Power Automate.
- Experience with data pipelines, ETL/ELT workflows, and enterprise system integrations.
- Knowledge of APIs, webhooks, and system integration design patterns.
- Preferred experience with LLM frameworks, data warehouses, and BI tools.
- Strong communication skills for collaboration with technical and non-technical stakeholders.
- Familiarity with analytics engineering practices and data observability frameworks.
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