Thane Maharashtra Testing engineer Jobs – 90 Open Jobs Today

Senior Data Engineer
Dentsu —Thane District, Maharashtra
- Full-time
- Computer Science
- SQL
- Analysis skills
1d
Sr. Engineer Mechanical
Vertiv —Thane District, Maharashtra
- Microsoft Excel
- Oracle
- CAD
7d
Software Engineer- DotNet FullStack
NGenious Solutions —Thane District, Maharashtra
- Azure
- Software troubleshooting
- DevOps
Production Engineer - Electronics
Laternal Emsoft Pvt. Ltd —Thane District, Maharashtra
- ₹12,000 - ₹15,000 a month
- Full-time
- Assembly
- Bachelor's degree
- In-person
Quick apply
13d
QA Lead
Dentsu —Thane District, Maharashtra
- Full-time
- Azure
- Writing skills
- Java
Component Engineer_Electrical Design of Power Transformer
Siemens —Thane District, Maharashtra
- Full-time
- AutoCAD
- English
- Master's degree
13d
Full Stack Engineer (LMS Implementation)
Programming.com —Thane District, Maharashtra
- Full-time
- Computer Science
- Software troubleshooting
- DevOps
Quick apply
9d
Project Engineer
Fillpack technology —Amarnath, Maharashtra
- ₹3,60,000 - ₹6,00,000 a year
- Full-time
- AutoCAD
- Schematics
- CAD
- Commuter assistance
- Health insurance
Quick apply
2d
Project Engineer
Fitbol Fitness —Thane District, Maharashtra
- ₹20,000 - ₹35,000 a month
- Full-time
- AutoCAD
- Microsoft Excel
- Analysis skills
- Paid time off
Quick apply
8d
Senior Automation Engineer
QualityKiosk Technologies —Thane District, Maharashtra
9d
Software Engineer
Dentsu —Thane District, Maharashtra
- Full-time
- SQL
- Machine learning
- APIs
2d
Process QC engineer
KOMAL WATERETCH —Amarnath, Maharashtra
- ₹20,000 - ₹30,000 a month
- Full-time
- B.Sc
- Electrical experience
- Bachelor's degree
Quick apply
Electrical Engineer
Kalptaru Engineers & Contractors Pvt Ltd —Badlapur, Maharashtra
- ₹25,000 - ₹30,000 a month
- Full-time
- System design
- C++
- Electrical experience
- Health insurance
Quick apply
Senior Mechanical Design Engineer
Bhoomi Process Management Pvt. Ltd —Amarnath, Maharashtra
- ₹50,000.00 - ₹70,939.93 a month
- Full-time
- Assembly
- Bachelor's degree
- In-person
Quick apply
Senior Mechanical Design Engineer
Bhoomi Analyzers —Amarnath, Maharashtra
- Assembly
- Bachelor's degree
- Welding
Quality Production Supervisor
Siemens —Thane District, Maharashtra
- Full-time
- Microsoft Excel
- Windows
- Diploma
Service order execution engineer
Siemens —Thane District, Maharashtra
- Full-time
- Schematics
- Electrical experience
- Bachelor's degree
Site manager - Operations & Maintenance
Siemens —Thane District, Maharashtra
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Opening for Quality Engineers
Meditek Engineers —Amarnath, Maharashtra
- ₹2,00,000 - ₹2,50,000 a year
- Full-time
- Bachelor's degree
- In-person
- Diploma
Quick apply
8d
Mechanical Project Engineer
LINUS PROJECTS (INDIA) —Ulhasnagar, Maharashtra
- ₹25,000 - ₹35,000 a month
- Full-time
- AutoCAD
- Analysis skills
- Bachelor's degree
Quick apply

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Senior Data Engineer

Dentsu -
Thane District, Maharashtra

Apply Now

Job details

Full-time
1 day ago

Qualifications

BCS
CI/CD
Computer Science
Git
Information Systems
Google Cloud Platform
SQL
Analysis skills
Bachelor's degree
Product development
Continuous integration
ETL
Agile
Apache
Metadata
AI
Python
Marketing
Analytics

Full job description

Job Description:

Title: Data engineer
DCF Level: L30

About the Role

We are seeking a highly motivated and hands-on GCP Data Engineer to support the development and delivery of modern enterprise data and AI platforms on Google Cloud Platform (GCP).

This role will work closely with Lead Data Engineers, Enterprise Architects, analytics teams, and AI/ML teams to build scalable, reliable, and AI-ready data pipelines and cloud-native data solutions that support enterprise analytics, intelligent automation, and digital transformation initiatives.

The ideal candidate should possess strong foundations in cloud data engineering, distributed data processing, and modern data platform development, along with a passion for building high-quality, scalable, and reusable data solutions in a fast-paced enterprise environment.

This role offers an excellent opportunity to work on large-scale data modernization, semantic data enablement, and next-generation AI data ecosystems.

Key Responsibilities

1. Cloud Data Engineering & Pipeline Development

Develop and maintain scalable batch and real-time data pipelines on GCP.
Build ingestion, transformation, and serving pipelines supporting enterprise analytics and AI use cases.
Assist in modernization of legacy data workflows into cloud-native architectures.
Develop reusable and maintainable data engineering components following established architectural standards.
Support implementation of event-driven and streaming-based data processing solutions.

2. Data Product Development

Contribute to development of reusable and domain-oriented data products.
Implement data transformation logic and standardized data models supporting downstream analytics and AI consumption.
Support implementation of:
- Data quality validations
- Schema management
- Metadata enrichment
- Data contracts
- Reusable transformation frameworks
Ensure data pipelines are reliable, scalable, and production-ready.

3. GCP Platform Development

Work with GCP-native services including:
- BigQuery
- Dataflow
- Dataproc
- DBT
- Pub/Sub
- Cloud Storage
- Cloud Composer (Airflow)
- Cloud SQL
Develop ETL/ELT pipelines and optimize data processing workloads.
Support orchestration and scheduling of enterprise data workflows.
Monitor and troubleshoot pipeline performance, failures, and operational issues.

4. Semantic & Analytics Enablement

Support implementation of semantic models and business-friendly data structures for analytics and reporting.
Collaborate with analytics and BI teams to improve consistency and usability of enterprise data assets.
Assist in development of standardized metrics, dimensions, and reusable reporting datasets.
Contribute to metadata and data catalog integration initiatives.

5. AI/ML Data Enablement

Build and optimize AI-ready data pipelines supporting ML and GenAI initiatives.
Support feature engineering and data preparation workflows for AI/ML use cases.
Assist in integration with:
- Vertex AI
- BigQuery ML
- Vector databases
- GenAI frameworks
Contribute to implementation of semantic search and AI-assisted data interaction patterns.

6. Engineering Best Practices & Collaboration

Follow established coding standards, architecture guidelines, and DevOps practices.
Participate in code reviews, testing, debugging, and performance optimization activities.
Collaborate effectively with architects, lead engineers, analysts, and client stakeholders.
Contribute to engineering documentation, operational runbooks, and technical knowledge sharing.
Continuously learn and adopt modern cloud, data engineering, and AI platform technologies.

7. Governance, Monitoring & Operational Support

Support implementation of monitoring, logging, lineage, and observability frameworks.
Ensure adherence to enterprise security, governance, and compliance standards.
Assist in incident resolution, root cause analysis, and platform stability improvements.
Contribute to continuous improvement initiatives for operational excellence and delivery quality.

Technical Expertise Required

Area

Skills / Technologies

Cloud Data Engineering

GCP, BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage

Data Processing

SQL, Python, PySpark, DBT

Streaming & Pipelines

Apache Beam, batch & real-time processing

Workflow Orchestration

Cloud Composer (Airflow), Workflows

Semantic & Analytics

Basic semantic modeling concepts, reporting datasets, Looker exposure preferred

AI/ML Enablement

Vertex AI exposure, BigQuery ML, GenAI ecosystem awareness

Metadata & Governance

Data Catalog, metadata management, lineage concepts

DevOps & Automation

CI/CD concepts, Git, automation frameworks

Qualifications

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
3–6 years of experience in data engineering and cloud-based data platform development.
Hands-on experience working with Google Cloud Platform (GCP) data services.
Strong SQL and Python programming skills.
Experience developing scalable ETL/ELT pipelines and distributed data processing workflows.
Understanding of modern data architecture concepts including data lakes, data warehouses, and streaming pipelines.
Exposure to analytics, AI/ML, or GenAI-enabled data ecosystems preferred.
Strong analytical, troubleshooting, and problem-solving skills.
Ability to work collaboratively in Agile and cross-functional delivery teams.
GCP certifications such as Associate Cloud Engineer or Professional Data Engineer are a plus.

Preferred Experience

Exposure to enterprise-scale data modernization initiatives.
Familiarity with modern data engineering and data product development practices.
Experience working with semantic layers, reporting platforms, or BI ecosystems.
Exposure to AI-ready data platforms and modern analytics ecosystems.
Experience in retail, marketing, customer analytics, or digital commerce domains is an advantage.

Location:

DGS India - Mumbai - Thane Ashar IT Park

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent

Apply Now

Refine Your Search

testing engineer jobs in thane maharashtra

Senior Data Engineer

Sr. Engineer Mechanical

Software Engineer- DotNet FullStack

Production Engineer - Electronics

QA Lead

Component Engineer_Electrical Design of Power Transformer

Full Stack Engineer (LMS Implementation)

Project Engineer

Project Engineer

Senior Automation Engineer

Software Engineer

Process QC engineer

Electrical Engineer

Senior Mechanical Design Engineer

Senior Mechanical Design Engineer

Quality Production Supervisor

Service order execution engineer

Site manager - Operations & Maintenance

Opening for Quality Engineers

Mechanical Project Engineer

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Title: Data engineer
DCF Level: L30

About the Role

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testing engineer jobs in thane maharashtra

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Title: Data engineer DCF Level: L30 About the Role

Title: Data engineer
DCF Level: L30

About the Role