Noida, Up Engineer java architecture Jobs – 140 Open Jobs Today

Data Engineer
ShyftLabs —Noida, Uttar Pradesh
- Full-time
- Java
- SQL
- Python
- Health insurance
Quick apply
Full Stack Developer
Neural Niti Pvt. Ltd —Faridabad, Haryana
- ₹15,00,000 - ₹35,00,000 a year
- Full-time
- Hybrid work
- Computer Science
- System design
- Java
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4d
Android App Developer
INSTAACODERS TECHNOLOGIES —Noida, Uttar Pradesh
- Remote
- Java
- Bachelor's degree
- APIs
- Work from home
Tech Lead – Java
HighWire Press —Noida, Uttar Pradesh
- Computer Science
- System design
- Java
Manager, Software Engineering - 1564
GHX —Noida, Uttar Pradesh
- System design
- English
- Java
Senior AI/ML Engineer
EA Technologies —Noida, Uttar Pradesh
- Azure
- Computer Science
- DevOps
Sr. Tech Lead - Application Development Microsoft S 4D
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
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8d
Senior Software Engineer - 1454
GHX —Noida, Uttar Pradesh
- Computer Science
- B.Sc
- Java
Senior Engineer, DevOps - India
DISCO —Noida, Uttar Pradesh
- Azure
- Salesforce
- Java
- Health insurance
10d
Cloud Infrastructure Expert
SBS —Noida, Uttar Pradesh
- Full-time
- Azure
- DevOps
- Java
Quick apply
Senior AI/ ML Engineer
Friends Color Images —Noida, Uttar Pradesh
- Full-time
- Azure
- Java
- Master's degree
- Commuter assistance
- Health insurance
Manager Software Engineering-React , .net , Azure
Optum —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- DevOps
- Health insurance
3d
Senior Engineer, Devops (AWS Automation)
BOLD LLC —Noida, Uttar Pradesh
- Azure
- DevOps
- Java
- Health insurance
- Paid time off
AI/ML Engineer
Nucleus Software —Noida, Uttar Pradesh
- Java
- Bachelor's degree
- Machine learning
Lead Developer
360 DC Group —Noida, Uttar Pradesh
- Azure
- DevOps
- Java
Quick apply
Data/AI Lead Optimizing procurement for hospitality success
Skyleaf Consultants —Noida, Uttar Pradesh
- ₹20,00,000 - ₹35,00,000 a year
- Full-time
- Oracle
- Computer Science
- Java
Senior AI Engineer
Techneplus —Noida, Uttar Pradesh
- Full-time
- Azure
- DevOps
- Java
Performance Test Architect- Noida, India
NeoXam —Noida, Uttar Pradesh
- Hybrid work
- Azure
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- Java
Sr. Software Quality Assurance Analyst
TELUS Digital —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Java
- AI
3d
Senior SecOps & AppSec Lead - Noida
NeoXam —Noida, Uttar Pradesh
- Hybrid work
- Azure
- Java
- SQL

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Data Engineer

ShyftLabs -
Noida, Uttar Pradesh

Quick apply

Job details

Full-time

Benefits

Health insurance

Qualifications

CI/CD
Power BI
Cloud infrastructure
Kubernetes
Software deployment
Git
Google Cloud Platform
Tableau
Java
SQL
Docker
Terraform
Continuous integration
Data warehouse
Python

Full job description

Position Overview:

We are seeking a skilled and passionate Data Engineer with deep expertise in Google Cloud Platform (GCP) and Google BigQuery. In this role, you will architect, build, and maintain the scalable data pipelines that are the foundation of our analytics and data science initiatives.

You will be responsible for the entire data lifecycle, from ingestion and processing to warehousing and serving. You will work on creating a reliable, efficient, and high-quality data ecosystem that empowers our data analysts, data scientists, and business leaders to make critical data-informed decisions.

ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries by focusing on creating value through innovation.

Job Responsibilities:

Data Architecture & Pipeline Development: Design, build, and maintain scalable and reliable batch and real-time ETL/ELT data pipelines using GCP services like Dataflow, Cloud Functions, Pub/Sub, and Cloud Composer.
Data Warehousing: Develop and manage our central data warehouse in Google BigQuery. Implement data models, schemas, and table structures optimized for performance and scalability.
Data Processing & Transformation: Write clean, efficient, and robust code (primarily in SQL and Python) to transform raw data into curated, analysis-ready datasets.
Infrastructure Optimization & Scalability: Monitor, troubleshoot, and optimize our data infrastructure for performance, reliability, and cost-effectiveness. Implement BigQuery best practices, including partitioning, clustering, and materialized views.
Enable Data Accessibility & BI: Build and maintain curated data models that serve as the "source of truth" for business intelligence and reporting, ensuring data is ready for consumption by BI tools like Looker.
Data Governance & Quality: Implement automated data quality checks, validation rules, and monitoring to ensure the accuracy and integrity of our data pipelines and warehouse.
Collaboration: Work closely with software engineers, data analysts, and data scientists to understand their data requirements and provide the necessary infrastructure and data products.

Basic Qualifications:

Experience: 3-5+ years of hands-on experience in a Data Engineering, Software Engineering, or a similar role.
Programming Skills: Strong proficiency in a programming language such as Python or Java for data processing and automation.
Expert SQL Proficiency: Mastery of SQL for complex data manipulation, DDL/DML operations, and query optimization.
Google BigQuery: Proven expertise in using BigQuery as a data warehouse, including data modeling, performance tuning, and cost management.
GCP Data Services: Hands-on experience building data pipelines using the GCP ecosystem (e.g., Dataflow, Pub/Sub, Cloud Storage, Cloud Composer/Airflow).
Data Pipeline Concepts: Deep understanding of ETL/ELT principles and data warehousing architecture (e.g., Star Schema, Data Lakes).
Engineering Mindset: Strong problem-solving and troubleshooting skills with a focus on building scalable, maintainable, and automated systems.

Preferred Qualifications:

BI Tool Integration: Experience building data models that power BI tools like Looker (knowledge of LookML is a strong plus), Tableau, or Power BI.
Modern Data Stack Tools: Experience with tools like dbt, Dataform, or Fivetran for data transformation and integration.
Infrastructure as Code (IaC): Familiarity with tools like Terraform or Deployment Manager for managing cloud infrastructure.
Containerization: Knowledge of Docker and Kubernetes is a plus.
Certifications: Google Cloud Professional Data Engineer certification is highly desirable.
Version Control: Proficiency with Git for code management and CI/CD pipelines.

We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

Quick apply

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