Bengaluru Karnataka Sr data science engineer Jobs – 2149 Open Jobs Today

Sr. Data Science Engineer
Sabre —Bengaluru, Karnataka
- Full-time
- SQL
- AI
- Python
Data Science Engineer
Sabre —Bengaluru, Karnataka
- Full-time
- APIs
- AI
- Python
Sr Data Science Engineer
Sabre —Bengaluru, Karnataka
- Full-time
- Hospitality
- Computer Science
- Java
Data Engineer / Sr. Data Engineer
AIEnterprise —Bengaluru, Karnataka
- Full-time
- Remote
- SQL
- AWS
- Python
Data Engineer
Dentsu —Bengaluru, Karnataka
- Full-time
Sr. Data Engineer
Hewlett Packard Enterprise —Bengaluru, Karnataka
- Full-time
- Computer Science
- Salesforce
- DevOps
Sr Advanced Data Engineer
Honeywell —Bengaluru, Karnataka
- Full-time
- Microsoft Excel
- Oracle
- Writing skills
Data Engineer (Azure, Databrics)
DataArt —Bengaluru, Karnataka
- Azure
- Computer Science
- Master's degree
Sr. SW Engineer for Unified Data Collector
Mercedes-Benz Group AG —Bengaluru, Karnataka
- Computer Science
- Software troubleshooting
- C++
Support Engineer Manager II, Measurements & Data Science
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Computer Science
- DevOps
- Data analysis skills
Senior Data Science Engineer
WBeyond Pvt Ltd —Bangalore City, Bengaluru, Karnataka
- ₹5,00,000 - ₹10,00,000 a year
- SQL
- APIs
- Agile
Quick apply
4d
Sr. Data Engineer
Saviynt —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Salesforce
Sr. Data Engineer 1
Skyworks Solutions —Bengaluru, Karnataka
- Oracle
- Computer Science
- Software troubleshooting
SR. DATA ENGINEER - (AI & Analytics)
TE Connectivity —Bengaluru, Karnataka
- Computer Science
- SQL
- AWS
- Health insurance
Sr Software Engineer II, Data Engineering and Platform
LG Ads Solutions —Bangalore City, Bengaluru, Karnataka
- ₹60,00,000 - ₹65,00,000 a year
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Databases
Quick apply
9d
Senior Data Engineer
Bosch Group —Bengaluru, Karnataka
- ₹24,00,000 - ₹28,00,000 a year
- Full-time
- Computer Science
- Java
- Master's degree
Quick apply
11d
Sr. Data Engineer - Data Engineering 4B
Genpact India Pvt. Ltd. —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- Computer Science
- English
Quick apply
12d
Lead Power and Performance Attainment Engineer
Advanced Micro Devices, Inc —Bengaluru, Karnataka
- Computer Science
- System design
- Master's degree
9d
Sr. Data Reliability Engineer
Infosys Limited —Bengaluru, Karnataka
- Azure
- DevOps
- SQL
Sr. Mgr, Data Science
Lam Research —Bengaluru, Karnataka
- Remote
- Azure
- Management
- Computer Science
2d

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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