Bengaluru Karnataka Data engineer bi data products & databricks Jobs – 108 Open Jobs Today

IT engineer Data & Analytics DevOps
Continental —Bengaluru, Karnataka
- Online application
- Azure
- Computer Science
- DevOps
Principal Data Engineer- Databricks & AI platform
GoTo —Bengaluru, Karnataka
- Full-time
- Remote
- Azure
- Master's degree
- SQL
- Paid holidays
- Health insurance
Sr Data Engineer-AWS
Aptus Data LAbs —Bengaluru, Karnataka
- Full-time
- Remote
- Computer Science
- SQL
- AWS
Software Engineer II, ITC
Nike —Bengaluru Urban District, Karnataka
- Full-time
- Azure
- Oracle
- Computer Science
Vice President - Core Engineering (Data Architect)
Goldman Sachs —Bengaluru, Karnataka
- Azure
- Computer Science
- DevOps
- Health insurance
Senior Engineer - Data Engineering
Altimetrik Corp —Bengaluru, Karnataka
- Azure
- Computer Science
- DevOps
Senior Data Engineer - Full Stack
DigiCert —Bengaluru, Karnataka
- Azure
- SQL
- AWS
- Paid time off
Quick apply
9d
Data Engineer Lead
onsemi —Bengaluru, Karnataka
- Full-time
- Computer Science
- SQL
- Bachelor's degree
Lead Data Engineer
Fiddle Leaf Solutions —Bengaluru, Karnataka
- Up to ₹2,10,000 a year
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick apply
Senior DevOps Engineer
PVH Corp. —Bengaluru, Karnataka
- Full-time
- Microsoft Access
- Azure
- Computer Science
23h
Team Leader - Data Analytics
WSP —Bengaluru, Karnataka
- Hybrid work
- Microsoft Excel
- Azure
- Oracle
Senior SAP Data Engineer - Core SAP Data Platform
Evora Group —Bengaluru, Karnataka
- Hybrid work
- Azure
- SQL
- Analysis skills
- Commuter assistance
- Cell phone reimbursement
Quick apply
10d
Senior Data Platform Engineer
DigiCert —Bengaluru, Karnataka
- Azure
- Master's degree
- SQL
- Paid time off
Quick apply
Senior Data Analyst
The Scalers —Bengaluru, Karnataka
- Data analysis skills
- SQL
- Analysis skills
- Health insurance
Software Engineer III, ITC
Nike —Bengaluru Urban District, Karnataka
- Full-time
- Computer Science
- DevOps
- Research
Software Engineer II
Tekion —Bengaluru, Karnataka
- Computer Science
- Databases
- SQL
IT engineer data lakehouse
Continental —Bengaluru, Karnataka
- Online application
- Azure
- Computer Science
- DevOps
IT engineer data lakehouse - Sales & Finance
Continental —Bengaluru, Karnataka
- Online application
- Azure
- Computer Science
- DevOps
IT engineer data lakehouse M&E/QM
Continental —Bengaluru, Karnataka
- Online application
- Azure
- Computer Science
- DevOps
Senior Product AI Data Engineer
Clarivate —Bengaluru Urban District, Karnataka
- Full-time
- Hybrid work
- Azure
- SQL
- AWS

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IT engineer Data & Analytics DevOps

Continental -
Bengaluru, Karnataka

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Job details

Full-time

Qualifications

CI/CD
Power BI
Azure
Computer Science
Software deployment
DevOps
Spark
Git
Information Systems
RBAC
Machine learning
Distributed systems
Scala
Terraform
Continuous integration
GitHub
Less (style sheet language)
Data science

Full job description

Your tasks

Job Description

Design, build, and operate a stable, scalable, and secure data platform infrastructure on Azure, including Databricks, CI/CD systems, and Power BI integration.

Take ownership of platform infrastructure, deployment automation, and reliability engineering by reducing manual operations through automation and engineering solutions.

Enable and continuously improve the reliable execution of data pipelines by implementing observability, monitoring, and automated recovery mechanisms.

Build and evolve Infrastructure-as-Code-based platform provisioning and configuration management.

Collaborate with software engineers, ML engineers, and architects to ensure platform capabilities align with development and architectural standards.

Main Tasks

Platform Engineering & Infrastructure

Design, build, and operate Azure-based platform infrastructure using Infrastructure-as-Code (Terraform).

Automate provisioning, configuration, and scaling of platform components (AKS, Key Vault, Monitor, Storage).

Automate and manage Databricks workspace configuration, access control, and cluster policies.

Define and enforce platform standards for cluster usage, performance, and cost optimization.

CI/CD & Automation

Design and implement CI/CD pipelines for Scala-based data applications.

Automate build, packaging, and deployment processes (e.g., SBT, github enterprise).

Enforce DevSecOps practices, including secure pipeline design and infrastructure governance.

Reliability Engineering & Observability

Implement observability for data pipelines and platform components (logging, metrics, alerting), using grafana.

Diagnose failures and implement long-term reliability improvements, including root cause analysis and post-incident remediation.

Define and implement reliability engineering practices, including SLIs/SLOs, incident response, and automated recovery mechanisms.

Monitor Spark workloads using logs, metrics, and performance diagnostics.

Data Platform Enablement

Enable reliable runtime execution of production data pipelines and ensure SLA adherence.

Collaborate with engineers to resolve performance bottlenecks and deployment issues.

Support environment transitions, and platform lifecycle processes.

Power BI Platform Integration

Engineer and automate Power BI service configuration, workspace management, and monitoring.

Design and operate enterprise gateway infrastructure for hybrid data integration scenarios.

Troubleshoot and continuously improve reliability of dataset refresh and hybrid integration pipelines.

Governance & Security

Implement and enforce platform governance standards (RBAC, tagging, audit logging).

Design secure secrets and credential management using Azure Key Vault, managed identities, and federated identity credentials.

Automate compliance checks and support platform audits across Azure, Databricks, and Power BI environments.

Platform Optimization

Optimize resource utilization, scalability, and cost-efficiency across platform components.

Provide transparency into platform usage, cost drivers, and optimization opportunities.

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Your profile

Qualifications
- Degree in Computer Science, Engineering, Information Systems, or a related field.
- Minimum 5 years of experience in platform engineering, DevOps, or SRE roles, with a strong focus on automation and infrastructure engineering.
- Strong hands-on experience with cloud platforms (Azure preferred), Infrastructure-as-Code (Terraform/Bicep), and CI/CD pipelines.
- Experience designing and operating production-grade data platforms and pipeline ecosystems (Scala / Spark environments).
- Strong understanding of distributed systems, reliability engineering, and observability practices.
- Experience with Databricks platform operations and Spark workload optimization.
- Experience integrating build and deployment pipelines (e.g., SBT, github enterprise).
- Experience with Power BI service administration and enterprise gateway architectures is a plus.
- Strong focus on automation-first approaches with minimal reliance on manual operations.
- Ability to work across global teams and collaborate with engineers, architects, and business stakeholders.
NOT a Fit If Your Experience Is Primarily
- Manual system or platform administration without automation or Infrastructure-as-Code
- Ticket-based operations or L2/L3 support roles
- BI/reporting-focused roles or Power BI-only administration

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Our offer

The well-being of our employees is important to us. That's why we offer exciting career prospects and support you in achieving a good work-life balance with additional benefits such as:

Training opportunities
Mobile and flexible working models
Sabbaticals

and much more...

Sounds interesting for you? Click here to find out more.

Diversity, Inclusion & Belonging are important to us and make our company strong and successful. We offer equal opportunities to everyone - regardless of age, gender, nationality, cultural background, disability, religion, ideology or sexual orientation.

Ready to drive with Continental? Take the first step and fill in the online application.

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About us

Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent, and affordable solutions for vehicles, machines, traffic and transportation. In 2023, Continental generated sales of €41.4 billion and currently employs around 200,000 people in 56 countries and markets.

Guided by the vision of being the customer's first choice for material-driven solutions, the ContiTech group sector focuses on development competence and material expertise for products and systems made of rubber, plastics, metal, and fabrics. These can also be equipped with electronic components in order to optimize them functionally for individual services. ContiTech's industrial growth areas are primarily in the areas of energy, agriculture, construction, and surfaces. In addition, ContiTech serves the automotive and transportation industries as well as rail transport.

The IT Digital and Data Services Competence Center of ContiTech caters to all the Business Areas in ContiTech and responsible among other on areas of Data & Analytics, Web and Mobile Software Development and AI

The team for Data services specializes in all platforms, business applications and products in the domain of data and analytics, covering the entire spectrum including AI, machine learning, data science, data analysis, reporting and dashboarding.

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Keyfacts

Job ID
REF88141F

Location
Bengaluru

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Leadership level
Leading Self

Job flexibility
Onsite Job

Working time
Full Time

Legal Entity
ContiTech India Pvt. Ltd.

Apply Now

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data engineer bi data products & databricks jobs in bengaluru karnataka

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