bengaluru karnataka senior ai dev platform engineer Jobs – 92 Open Jobs Today

Sr. Data Science Engineer
Sabre —Bengaluru, Karnataka
- Full-time
- SQL
- AI
- Python
Senior Software Engineer
LTM —Bengaluru, Karnataka
- Oracle
- Computer Science
- DevOps
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Assistant Manager, Azure Data Engineer
Genpact India Pvt. Ltd. —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- Computer Science
- English
Quick apply
Sr. Engineer/Tech Lead, QA
Parallel Wireless —Bengaluru, Karnataka
- Full-time
- Master's degree
- C++
- Bachelor's degree
Quick apply
Sr. AI Architect
SkanAI —Bengaluru, Karnataka
- Azure
- Doctoral degree
- Computer Science
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Lead Consultant, Customer MDM Developer
Genpact India Pvt. Ltd. —Bengaluru, Karnataka
- Full-time
- Remote
- Azure
- Computer Science
- English
Quick apply
Advanced Data Engineer - GCP
Honeywell —Bengaluru, Karnataka
- Full-time
- Azure
- Oracle
- DevOps
14d
Lead Consultant, Playwright with Typescript
Genpact India Pvt. Ltd. —Bengaluru, Karnataka
- Full-time
- Azure
- Oracle
- Computer Science
Quick apply
Sr Software Quality Engineer
Sabre —Bengaluru, Karnataka
- Full-time
- Hospitality
- Java
- SQL
Infra Tech Support Practitioner
Accenture —Bengaluru, Karnataka
- Full-time
- Azure
- Oracle
- Windows
Lead Software Engineer
Epsilon —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
Staff Fullstack Engineer
JazzX AI —Bengaluru, Karnataka
- Azure
- Computer Science
- Java
Lead - Product Support
IBS Software —Bengaluru Urban District, Karnataka
- Urgently hiring
- Oracle
- DevOps
- Java
- Flexible schedule
2d
Software Development Engineer in Test
Index Exchange —Bengaluru, Karnataka
- Full-time
- JavaScript
- AI
- SDLC
- Paid time off
- Flexible schedule
Full Stack Engineer
Accenture —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- DevOps
Sr. Manager
Visa Consolidated Support Services (India) Private Limited - Tech Unit —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Java
- Master's degree
Sr. SW Engineer; Software Engineering
Visa Consolidated Support Services (India) Private Limited - Tech Unit —Bengaluru, Karnataka
- Full-time
- Azure
- Oracle
- Computer Science
Lead Consultant, Finance MDM Developer
Genpact India Pvt. Ltd. —Bengaluru, Karnataka
- Full-time
- Remote
- Azure
- Oracle
- Computer Science
Quick apply
Sr. Staff Test Engineer
Teradata —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Computer Science
- B.Sc
- Master's degree
Quick apply

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Sr. Data Science Engineer

Sabre -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

CI/CD
Cloud architecture
Encryption
Git
Google Cloud Platform
SQL
Terraform
Continuous integration
GitHub
Apache
Data science
AI
Python
Identity & access management
Analytics

Full job description

Powering the agentic revolution in travel. Sabre is an AI-native technology leader, backed by one of the world’s largest travel data clouds. Built on an open, modular, cloud-native architecture, Sabre serves as the backbone for both established leaders and bold, new disruptors, guiding them to the next age of travel retailing through intelligent, connected, and personalized experiences. With AI at its core and operating at unparalleled scale, Sabre transforms insights into innovation, empowering airlines, hoteliers, agencies and other partners to retail, distribute and fulfill travel worldwide.

Senior Data Science Engineer

Cloud‑Native Analytics Pipelines (GCP)
Service Time: Typically 7+ years of progressive experience in data engineering, analytics engineering, or applied data science roles

Role Overview

We are seeking a Senior Data Science Engineer to design, build, and operate production‑grade analytics pipelines on Google Cloud Platform. This role spans the full lifecycle—from orchestration and transformation to analytics, ML, and infrastructure—using modern CI/CD and infrastructure‑as‑code practices.

Key Responsibilities

Build and operate Apache Airflow DAGs on Cloud Composer, including dependencies, scheduling, and testing.
Develop batch and streaming pipelines using Apache Beam on Cloud Dataflow.
Design, optimize, and maintain BigQuery datasets, SQL, partitions, clustering, and cost‑efficient query patterns.
Develop and operationalize BigQuery ML (BQML) models within analytics workflows.
Manage environment‑aware configuration using YAML across DEV, CERT, and PROD.
Provision and manage GCP infrastructure using Terraform (GCS, BigQuery, IAM, CMEK).
Own and extend GitHub Actions pipelines for build, test, and multi‑environment deployment.
Apply GitHub Copilot to accelerate development, testing, and code review.
Lead or support schema evolution and BigQuery DDL migration efforts.

Required Skills

Strong:

Python (type hints, clean modules, conventions)
Apache Airflow
BigQuery (SQL, DDL, performance, cost optimization)
BigQuery ML (training, evaluation, inference)
Google Cloud Platform (GCS, IAM, Composer, Dataflow, CMEK)

Proficient:

Apache Beam
Terraform (IaC modules, lifecycle management)
GitHub Actions (CI/CD, artifacts, multi‑env deployment)
YAML‑based configuration management
GitHub Copilot / AI‑assisted development

Nice to Have

Artifact registries (e.g., Nexus) and deployment orchestration tooling
CMEK‑focused security and encryption patterns
Large‑scale BigQuery schema evolution and migration experience
Lakehouse architectures on GCP
Cross‑repo or multi‑team platform engineering experience
Integrating BQML models into automated Airflow pipelines

We will give careful consideration to your application and review your details against the position criteria. You will receive separate notification as your application progresses.

Please note that only candidates who meet the minimum criteria for the role will proceed in the selection process.

#LI-Hybrid#LI-GR1

Apply Now

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Senior Data Science Engineer

Cloud‑Native Analytics Pipelines (GCP) Service Time: Typically 7+ years of progressive experience in data engineering, analytics engineering, or applied data science roles

Role Overview

Key Responsibilities

Build and operate Apache Airflow DAGs on Cloud Composer, including dependencies, scheduling, and testing.

Develop batch and streaming pipelines using Apache Beam on Cloud Dataflow.

Design, optimize, and maintain BigQuery datasets, SQL, partitions, clustering, and cost‑efficient query patterns.

Develop and operationalize BigQuery ML (BQML) models within analytics workflows.

Manage environment‑aware configuration using YAML across DEV, CERT, and PROD.

Provision and manage GCP infrastructure using Terraform (GCS, BigQuery, IAM, CMEK).

Own and extend GitHub Actions pipelines for build, test, and multi‑environment deployment.

Apply GitHub Copilot to accelerate development, testing, and code review.

Lead or support schema evolution and BigQuery DDL migration efforts.

Required Skills

Strong:

Python (type hints, clean modules, conventions)

Apache Airflow

BigQuery (SQL, DDL, performance, cost optimization)

BigQuery ML (training, evaluation, inference)

Google Cloud Platform (GCS, IAM, Composer, Dataflow, CMEK)

Proficient:

Apache Beam

Terraform (IaC modules, lifecycle management)

GitHub Actions (CI/CD, artifacts, multi‑env deployment)

YAML‑based configuration management

GitHub Copilot / AI‑assisted development

Nice to Have

Artifact registries (e.g., Nexus) and deployment orchestration tooling

CMEK‑focused security and encryption patterns

Large‑scale BigQuery schema evolution and migration experience

Lakehouse architectures on GCP

Cross‑repo or multi‑team platform engineering experience

Integrating BQML models into automated Airflow pipelines

Cloud‑Native Analytics Pipelines (GCP)
Service Time: Typically 7+ years of progressive experience in data engineering, analytics engineering, or applied data science roles