maharashtra ai native engineer(experienced) Jobs – 99 Open Jobs Today

Lead AWS Data Engineer Expert
Weekday —Pune, Maharashtra
- ₹15,00,000 - ₹25,00,000 a year
- Full-time
- SQL
- AWS
- Analysis skills
Quick apply
6h
Lead AWS Data Engineer
Weekday —Pune, Maharashtra
- ₹15,00,000 - ₹25,00,000 a year
- Full-time
- SQL
- AWS
- Analysis skills
Quick apply
6h
Senior Software Engineer - AI/ML Engineer AWS
CGI —Pune, Maharashtra
- Full-time
- Computer Science
- Research
- Master's degree
Quick apply
10h
Principal Specialist Sales Engineer
Zscaler —Mumbai, Maharashtra
- Sales
- Bachelor's degree
Golang Backend Engineer
DHUBiC Private Limited —Mohammedwadi, Pune, Maharashtra
- ₹3,60,000 - ₹12,00,000 a year
- Full-time
- Azure
- English
- AWS
- Flexible schedule
Quick apply
Principal Software Engineer
Cornerstone OnDemand, Inc. —Pune, Maharashtra
- AWS
- Machine learning
- JavaScript
Senior Snowflake Data & AI Platform Engineer
Avaloq —Pune, Maharashtra
- Full-time
- Oracle
- English
- SQL
Quick apply
Digital Platform Sr Product Manager
Black & Veatch Family of Companies —Pune, Maharashtra
- Full-time
- Computer Science
- Bachelor's degree
- Product management
- Health insurance
- Paid time off
Cyber Security Engineer III - 1612
GHX —Nagpur, Maharashtra
- Data analysis skills
- Master's degree
- AWS
Java Fullstack Engineer
Citi —Pune, Maharashtra
- Full-time
- Oracle
- Computer Science
- Software troubleshooting
Senior Data Engineer - GCP
HoonarTek —Pune, Maharashtra
- Full-time
- Hybrid work
- Research
- SQL
- APIs
Digital Cloud & Data Platform Sr. Engineer
Black & Veatch Family of Companies —Pune, Maharashtra
- Full-time
- Computer Science
- Master's degree
- SQL
- Health insurance
- Paid time off
Senior Software Engineer
Qualys —Pune, Maharashtra
- Full-time
- Oracle
- Computer Science
- Java
Sr. Network Engineer
Workday —Pune, Maharashtra
- Full-time
- Azure
- AWS
- Scripting
- Flexible schedule
Software Engineer
Collinson —Mumbai, Maharashtra
- Hybrid work
- Azure
- AWS
- Analysis skills
Tech Manager, Engineering (CCaaS)
Nice —Pune, Maharashtra
- Remote
- Management
- Computer Science
- DevOps
Senior System Software Engineer - Cloud and Frontend
NVIDIA —Pune, Maharashtra
- Full-time
- Computer Science
- Master's degree
- Presentation skills
Lead Software Engineer
Kaseya Careers —Pune, Maharashtra
- Computer Science
- Java
- Databases
10d
Technology Architect
Accenture —Mumbai, Maharashtra
- Full-time
- Research
- Master's degree
- AWS
Engineering Manager
Barclays —Pune, Maharashtra
- Azure
- Computer Science
- SQL

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Lead AWS Data Engineer Expert

Weekday -
Pune, Maharashtra

Quick apply

Job details

Full-time
₹15,00,000 - ₹25,00,000 a year
6 hours ago

Qualifications

CI/CD
Software deployment
SQL
AWS
Analysis skills
Machine learning
Cloud development
Continuous integration
ETL
Agile
S3
Data science
Redshift
AI
PL/SQL
Communication skills
Data warehouse
Python

Full job description

This role is for one of our clients

Industry: IT Services and IT Consulting

Seniority level: Mid-Senior level

Experience: 7+ yrs

Location: Bengaluru, Pune

Job Type: full-time

We are looking for a highly experienced Senior Data Engineer to design, build, and optimize scalable cloud-based data platforms that power enterprise analytics, reporting, and AI-driven initiatives. This role is ideal for a hands-on data engineering professional who combines deep technical expertise with strong business understanding to create reliable, secure, and high-performance data solutions. You will be responsible for developing modern data architectures, building robust ETL/ELT frameworks, and leveraging cloud-native technologies to support large-scale data processing and analytics. Working closely with business stakeholders, data scientists, analysts, and engineering teams, you will transform complex business requirements into scalable technical solutions while driving best practices in data engineering, governance, performance optimization, and platform reliability.

Requirements

Key Responsibilities

Design, develop, and maintain scalable data pipelines, ETL/ELT processes, and data integration frameworks.
Build cloud-native data solutions using AWS services such as Glue, Lambda, Redshift, Aurora, OpenSearch, Step Functions, SNS, and S3.
Develop and optimize large-scale data processing workflows using Python, PySpark, SQL, and PL/SQL.
Design and implement enterprise data warehouses, data marts, dimensional models, and reporting structures.
Collaborate with business stakeholders, product teams, analysts, and data scientists to deliver data-driven solutions.
Ensure data quality, governance, security, compliance, and lifecycle management across the data ecosystem.
Optimize database performance, query execution, and high-volume data processing workloads.
Implement monitoring, logging, alerting, and troubleshooting mechanisms to maintain platform reliability.
Participate in architecture reviews, cloud modernization initiatives, and technical design discussions.
Support AI, machine learning, and advanced analytics use cases through scalable data infrastructure.
Drive continuous improvement initiatives focused on performance, scalability, and operational excellence.
Mentor junior engineers and promote engineering best practices, code quality standards, and knowledge sharing.
Support deployment activities, production issue resolution, and ongoing platform enhancements.

What Makes You a Great Fit

8–10 years of experience in Data Engineering, Data Warehousing, and Cloud Data Platform development.
Strong expertise in AWS cloud services, including Glue, Lambda, Redshift, Aurora, OpenSearch, Step Functions, SNS, and S3.
Advanced proficiency in Python and PySpark for large-scale data processing and transformation.
Strong command of SQL and PL/SQL development and optimization.
Extensive experience building ETL/ELT pipelines, data ingestion frameworks, and integration solutions.
Deep understanding of data warehousing concepts, dimensional modeling, and database architecture.
Experience working with structured, semi-structured, and unstructured datasets.
Strong knowledge of modern data architectures, including Data Lakes, Data Warehouses, and Lakehouse environments.
Familiarity with workflow orchestration, event-driven architectures, and distributed data processing systems.
Experience implementing data governance, quality frameworks, and security best practices.
Strong analytical thinking, problem-solving skills, and attention to detail.
Excellent communication and stakeholder management abilities.
Experience supporting AI, Machine Learning, Data Science, or Advanced Analytics initiatives is highly desirable.
Exposure to CI/CD pipelines, DevOps practices, Infrastructure as Code (IaC), and Agile delivery methodologies is a plus.
AWS certifications or equivalent cloud credentials are highly valued.
A proactive, ownership-driven mindset with a passion for building scalable and reliable data platforms.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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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ai native engineer(experienced) jobs in maharashtra

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