Data Engineering Lead
2 weeks ago
💻 Job Type: Full-Time
📍Location: Noida (Onsite)
⏱️ Work Timings: 12 PM to 8 PM IST | Monday to Friday
🖥️ Experience Required: 8+ Years of relevant experience
⌛ Hiring Timeline: Immediate - 30 Days
🚀 Hiring Process: Resume review - Initial screen - Technical Interviews (3)
About the company
InCommon is hiring on behalf of a Canada-based company. A leading technology consulting firm, this company specializes in cloud-native Application Development, Testing, Data Analytics, and DevOps. Recognized among Canada’s fastest-growing companies, they hold multiple Microsoft certifications, highlighting their expertise in application modernization. Operating through delivery centers in Vancouver and New Delhi, they leverage a global delivery model to drive impactful, cloud-powered solutions for clients worldwide.
Position Summary
We’re looking for an experienced Data Engineering Lead to drive the delivery of strategic data projects, manage a skilled team, and leverage MSBI and Azure data solutions. This role requires technical expertise, leadership skills, and a collaborative approach to translate business needs into robust data solutions.
Responsibilities
- Lead a team of data engineers, data scientists, and business analysts in the successful execution of Data & AI projects.
- Own the end-to-end delivery process, ensuring that projects are completed on time and within budget while maintaining high-quality standards.
- Collaborate with cross-functional teams, including business stakeholders, to gather requirements, define project scope, and set clear objectives.
- Design, develop, and implement robust and scalable data solutions utilizing MSBI and Azure data services.
- Provide technical guidance and mentorship to team members, fostering a culture of continuous learning and development.
- Stay up-to-date with industry trends and emerging technologies in the Data & AI space, and apply this knowledge to drive innovation within the team.
Requirements
- Bachelor’s in Computer Science, Engineering, or related field.
- Experience: 8+ years in Data & AI project management with MSBI and Azure expertise.
- Technical Skills: Proficient in SSIS, SSAS, SSRS; experienced with Azure Data Factory, SQL Database, Databricks, and Synapse.
- Leadership: Strong communication, analytical, and mentorship abilities to lead cross-functional teams.
Preferred Certifications:
- DA-100: Power BI
- PL-300: Power Platform Consultant
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