Sr. Data Engineer
About The Position
At OpsGuru, we're a people-first, customer-obsessed company motivated by our passion for empowering organizations of all sizes to embrace the power of Cloud technology through impactful, reliable and scalable consultancy services. Our team is made up of technical experts, creatives, salespeople, and many more. We work together to drive our mission forward and raise the bar for our customers daily, bringing their vision to life. We strive to be a workplace of inspired minds by fostering an environment that encourages innovative thinking, where everyone can grow and contribute to achieving their goals. Our long-term vision is to continue being an innovative and inspiring company that our customers and employees admire, and we invite you to join us! OpsGuru's value to our customers centres around our ability to provide deep technical guidance based on their business needs. We achieve this by assigning small, virtual teams of highly skilled individuals to each client. We are seeking a Contract Data Engineer to join an agile delivery team and support the design, development, and deployment of data engineering and advanced analytics solutions. The role involves working closely with cross‑functional teams to deliver scalable, production‑ready data pipelines and analytics capabilities from proof‑of‑concept through deployment and sustainment.
Requirements
- Strong proficiency in Python and SQL, with experience writing clean, efficient, and maintainable production code.
- Hands‑on experience with data engineering, analytics pipelines, and integrations in a modern data platform environment.
- Familiarity with MLOps concepts, deployment patterns, and collaboration with ML/AI teams.
- Experience working in a DevOps-oriented environment, including Git-based version control and collaborative development workflows.
- Proven ability to work effectively in an agile delivery model.
- Strong analytical and problem‑solving skills, including the ability to work through ambiguous requirements.
Responsibilities
- Design, develop, and maintain optimized, production‑grade data pipelines using Python and SQL.
- Support end‑to‑end delivery of AI and advanced analytics solutions, from initial PoC through deployment and ongoing sustainment.
- Collaborate with data scientists, ML engineers, and platform engineers to enable scalable, reliable MLOps and data engineering workflows.
- Apply software engineering best practices, including version control, branching strategies, peer code reviews, and CI/CD processes.
- Ensure data solutions meet enterprise standards for performance, reliability, and maintainability.
- Communicate technical findings, tradeoffs, and recommendations clearly to both technical and non‑technical stakeholders.
- Troubleshoot complex and ambiguous problems, adapting solutions as requirements evolve.
- Actively participate in agile ceremonies (stand‑ups, sprint planning, backlog refinement, retrospectives) and manage tasks effectively within sprint commitments.
- Contribute to documentation, knowledge sharing, and continuous improvement of engineering practices.
Benefits
- flexible work hours
- health and wellness incentives
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
