To Apply for this Job Click Here
Overview:
We are seeking an experienced Data Engineer to join our client’s growing data organization and contribute to a key program designed to establish a unified, accurate view of enterprise device data. This role is ideal for a highly motivated, technically skilled engineer who thrives on ownership, innovation, and driving measurable impact within a collaborative, fast-moving team. The successful candidate will combine deep technical acumen in modern data engineering tools and cloud ecosystems with a natural curiosity for leveraging AI-assisted development to enhance productivity and efficiency. This is a high-visibility project that requires accountability, strong communication, and the ability to work across technical and business teams, including offshore resources.
Required Skills & Qualifications:
- 3+ years of experience in data engineering or related fields.
- Strong proficiency in Snowflake, SQL, and Python.
- Proven experience in data modeling and building scalable pipelines in cloud environments (preferably Azure).
- Excellent communication and collaboration skills, including experience working with offshore teams.
- A passion for AI and automation – must be able to articulate personal projects or experimentation with AI tools or technologies.
- Hands-on familiarity with AI-assisted software development (“vibe coding”).
- Highly curious, resourceful, and self-driven with a track record of independent problem-solving and innovation.
Key Responsibilities:
- Design, build, and maintain scalable data pipelines and integration solutions within Snowflake and Azure environments.
- Aggregate and transform complex datasets from multiple sources
- Develop and optimize SQL queries and Python scripts for data manipulation, transformation, and automation.
- Collaborate with data architects, analysts, and offshore engineering teams to deliver end-to-end data solutions.
- Apply data modeling best practices to ensure data quality, consistency, and traceability.
- Leverage AI-assisted coding tools to accelerate development cycles and improve efficiency.
- Participate in code reviews, documentation, and process improvement initiatives to enhance the data engineering function.
- Provide regular project status updates and proactively identify risks or blockers to leadership.
- Contribute to team learning by sharing new tools, methods, and insights – this role expects you to not just execute but elevate the team’s technical capability.
618-MCM_1761767456