Jayanagar 5th Block Karnataka Senior engineer warehouse management Jobs – 149 Open Jobs Today

Technical Project Manager- Data Engineering/ Data Science/ AI & Gen AI
Weekday —Bengaluru, Karnataka
- ₹35,00,000 - ₹50,00,000 a year
- Full-time
- Azure
- Management
- Master's degree
Quick apply
6d
Principal Databricks Developer
Astellas —Bengaluru, Karnataka
- Hybrid work
- Azure
- Computer Science
- DevOps
- Work from home
Senior Data Analyst
Dentsu —Bengaluru, Karnataka
- Full-time
- Leadership
Sr. Analytics Engineer - Data Warehouse (Hybrid, Bangalore)
Smartsheet —Bengaluru, Karnataka
- Full-time
- SQL
- AWS
- Analytics
Sr. Developer - Application Development Microsoft N 4B
Genpact India Pvt. Ltd. —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- Computer Science
- English
Quick apply

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Principal Databricks Developer
Astellas —Bengaluru, Karnataka
This role combines deep hands ‑ on engineering expertise with architectural thinking, ensuring that our data solutions are not only well ‑ implemented, but also…

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Technical Project Manager- Data Engineering/ Data Science/ AI & Gen AI

Weekday -
Bengaluru, Karnataka

Quick apply

Job details

Full-time
₹35,00,000 - ₹50,00,000 a year
6 days ago

Qualifications

Azure
Management
Law
Master's degree
Databases
AWS
Project management
Neo4j
Mentoring
Data science
Metadata
Redshift
Solution architecture
AI
Leadership
Communication skills
Graph databases
Pre-sales

Full job description

This role is for one of our clients

Industry: IT Services and IT Consulting
Seniority level: Mid-Senior level

Min Experience: 12+ years

Location: Bengaluru, Karnataka, India
JobType: full-time

We are looking for a Technical Project Manager who can drive end-to-end execution of complex Data Engineering, Analytics, and AI/ML projects. The role requires managing engineering execution, coordinating cross-functional teams, handling stakeholder communication, and ensuring timely delivery of scalable data and AI solutions. The idea candidate should understand technical architecture well enough to work directly with engineers, architects, and data scientists while keeping delivery on track.

Requirements

Key Responsibilities

Project Delivery & Execution Management

Own end-to-end delivery of complex technical projects from initiation to production deployment.
Define project scope, timelines, milestones, deliverables, and execution strategy.
Manage multiple concurrent technical projects with competing priorities.
Ensure predictable delivery with strong governance around scope, timelines, quality, and execution.
Drive project planning, sprint execution, release planning, and production readiness.
Manage project risks, issue resolution, dependency tracking, and escalation management, financial metrics.

Team Leadership, Mentoring & People Management

Proven experience managing and growing engineering teams of 10+ people - including hiring, performance management, and career development.
Able to operate credibly in both technical design reviews and executive stakeholder meetings, switching registers fluently.
Strong written and verbal communication: clear architecture decision records, concise board-level status updates, and structured client presentations.
Conduct regular one-on-one discussions, coaching sessions, and career guidance.
Drive team capability building and technical skill development initiatives.
Foster accountability, ownership, collaboration, and engineering excellence culture.
Support hiring, onboarding, and team expansion initiatives.

Technical: Data Engineering

Deep, hands-on understanding of data engineering fundamentals: batch and streaming pipeline design, data modelling paradigms (dimensional, data vault, medallion architecture), and warehouse internals.
Hands-on experience with cloud data warehouses – Databricks, Snowflake, BigQuery, AWS Redshift or Azure
Experience with data quality frameworks, lineage tooling, and metadata cataloguing at an enterprise level.

Technical: AI & GenAI

Practical experience designing or overseeing production AI systems - RAG pipelines, LLM integrations, vector search, knowledge graphs, or agentic frameworks.
Sufficient depth in LangChain, LangGraph, vector databases, and knowledge graph platforms (Neo4j) to lead architecture reviews, evaluate technical trade-offs, and guide engineering decisions.
Ability to assess AI system designs for production readiness: latency, cost, observability, reliability, and governance compliance.

Nice to Have

Experience contributing to pre-sales: RFP responses, solution architecture proposals, effort estimation, and POC delivery.
Published technical writing, conference talks, or documented program case studies.

Qualifications

10-12 years of experience in data and/or AI engineering, with the latter years in technical lead or project management roles.
Demonstrated experience owning delivery of at least two large-scale, multi-workstream data or AI program from inception to production.
Experience managing cross-functional engineering teams in a client-facing or consulting environment.
Technical certifications in dbt, Snowflake, or a major cloud platform (Azure, AWS, GCP) are a strong plus.

Must-have skills

technical project delivery, Data Engineering

Good-to-have skills

LLM, AWS

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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