Project Manager- Data

At LTI Mind Tree we are seeking a Data Analytics Technical Project Manager with strong expertise in Azure Databricks, data engineering, and cloud-based DWH projects. The ideal candidate will manage end-to-end analytics engagements, ensuring timely delivery, adherence to best practices, and effective stakeholder communication.

Key Responsibilities:

Define project scope and timelines in collaboration with business stakeholders and IT teams.
Oversee architecture design and documentation while ensuring compliance with security and governance standards.
Drive best practices in code quality, data security, and scalability across teams.
Stay current with Databricks and emerging technologies to foster innovation.
Manage customer interactions with a positive attitude and excellent communication skills.
Lead and mentor teams, ensuring collaboration and problem-solving excellence.
Essential

Skills & Experience:

5+ years in data analytics projects.
Strong experience with Azure Databricks (notebook development, Delta Lake).
Proficiency in Azure services:
Data Lake, Synapse, Data Factory, Fabric.
Expertise in ETL/ELT processes, data warehousing, and building data lakes.
Solid SQL skills; familiarity with No

SQL databases.

Experience with CI/CD pipelines and version control (Git).
Hands-on experience with Delta tables, ADLS Gen2, and Databricks SQL.
Familiarity with modern CI/CD practices for cloud-native solutions.
Nice-to-Have

Skills:

Power BI for reporting and dashboarding.
Microsoft Fabric for analytics and integration.
Spark Streaming for real-time data processing.
Proficiency in Excel and PowerPoint for presentations.