Technical Project Manager (with Data engineering experience)

Description and Requirements

Job Title: Technical Project Manager (with Data engineering experience)

Department: Lenovo Customer Experience

Company Overview: Lenovo is the fastest growing technology company on the planet, with growth outpacing our competition quarter after quarter and we’re growing! Lenovo’s fundamental belief is that life rewards those who Never Stand Still.

Every day, every employee at Lenovo is focused on moving forward, rejecting traditional limits, and always seeking a better way.

We are looking for the person who challenges the ordinary and seeks to innovate in learning, while also balancing execution.

Position Overview: Lenovo’s Customer Experience team is seeking a Technical Project Manager with strong data & data engineering experience to join its Bangalore, India-based team.

We’re looking for a skilled, experienced self-starter to work in our CX department as a Technical Project Manager to manage end-to-end execution of a Data & Insights enrichment project by leading a team of data engineers.

Key Responsibilities:

As a Technical Project Manager, you will lead the development of a Data lakehouse solution, including requirements gathering, solution design, data modeling, ETL orchestration, and dashboard/report development in collaboration with stakeholders.

You will manage data ingestion from multiple internal and external sources, write and review complex queries, optimize data storage, and champion best practices across teams.

You will play a key role in enabling federated querying and analysis for BI and Data Science teams while managing project timelines and mentoring team members.

You will lead the design and implementation of a cloud-native data warehouse and ETL framework to support Customer Experience (CX) analytics.

You will oversee a team of data engineers, providing technical leadership while managing scope, timelines, and deliverables.

You will ensure seamless ingestion of data from diverse external sources, focusing on data quality, consistency, and performance optimization.

Your contributions will help establish best practices, drive delivery excellence, and enable impactful analytics across the organization.

Position Requirements

Basic Qualifications:

· Bachelor’s/Master’s Degree in Computer Science, Mathematics, or Science.

· Minimum 12 years of total experience in IT & Software engineering

· Minimum 8 years of experience in data engineering with expertise in building scalable ETL/data pipelines.

· Demonstrated experience in project planning, estimation, and stakeholder management.

· Strong proficiency in SQL and data validation, with at least 10 years of experience.

· Minimum 5 years of experience using ETL tools, especially Talend.

· Experience in Python programming and Databricks for data transformation and orchestration.

· Strong experience with data warehouse databases such as Azure Synapse, Hive, Snowflake, SQL Server, or Redshift.

· Experience and knowledge in ingesting data from various external sources is a must have.

· Excellent communication skills with a track record of effective collaboration with cross-functional teams.

· Prior experience in leading a team preferably team of data engineers.

· Prior experience / exposure working in Data science / ML / Gen AI projects.

Preferred Qualifications:

· Experience with Snowflake and/or Power BI.

· Familiarity with Agile Scrum practices.

Additional Locations: * India - Karnātaka - Bangalore * India - Karnātaka - BANGALORE * India * India - Karnātaka * India - Karnātaka - Bangalore , * India - Karnātaka - BANGALORE NOTICE FOR PUBLICAt Lenovo, we follow strict policies and legal compliance for our recruitment process, which includes role alignment, employment terms discussion, final selection and offer approval, and recording transactions in our internal system.

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