InCommon | Data Engineering Lead

4 weeks ago


uttar pradesh, India InCommon Full time
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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