Data Engineering Lead

6 days ago

Noida, India InCommon Full time

Job Type: Full-Time

Location: Noida (Onsite)

Budget: Up to INR 25,00,000 per annum

⏱️ Work Timings: 12 PM to 8 PM IST | Monday to Friday

️ Experience Required: 6+ 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: 6+ 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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