Up Senior maintenance engineer Jobs – 109 Open Jobs Today

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Aurafest Management Services Pvt.Ltd —Meerut, Uttar Pradesh
- ₹50,213.62 - ₹70,157.24 a month
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- In-person
Quick apply
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GE Vernova —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Oracle
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- English
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Personal Assistant (Customer Handling & Business Coordination)
Giri Infotech Pvt. Ltd. —Noida, Uttar Pradesh
- ₹30,000 - ₹50,000 a month
- Full-time
- Microsoft Powerpoint
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- Paid time off
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SynapseIndia —Noida, Uttar Pradesh
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Engineer – PLC, SCADA, RTU & SAS
M B Control & Systems —Uttar Pradesh
- Programmable logic controllers
- Bachelor's degree
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Thales —Noida, Uttar Pradesh
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TeamViewer Germany GmbH —Noida, Uttar Pradesh
- Hybrid work
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Quick apply
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SynapseIndia —Noida, Uttar Pradesh
- Weekend availability
- Microsoft Access
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Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Weekend availability
- Azure
- Computer Science
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Quick apply
Assistant Analyst
WSP —Noida, Uttar Pradesh
- Hybrid work
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Senior Development Lead - Advanced RPA

HCLTech -
Noida, Uttar Pradesh

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Job details

1 hour ago

Qualifications

Jira
Power BI
UI development
Data modelling
Azure
Computer Science
Software Engineering
DevOps
R
Microsoft SQL Server
English
Information Systems
UI design
Master's degree
SQL
Analysis skills
Database management
Bachelor's degree
Confluence
PostgreSQL
Scala
Terraform
UX
APIs
ETL
Agile
UI
Data science
Data visualization
Jenkins
Communication skills
Python
MySQL
Data Science
SDLC

Full job description

| Noida, Uttar PradeshChennai, Tamil Nadu
Job Summary

We are seeking a skilled and motivated Data Engineer to join our team. The ideal candidate will have a strong background in data engineering, data architecture, and data integration. This role involves building and maintaining scalable data pipelines, ensuring data quality and integrity, and supporting data analytics initiatives. You will work closely with internal customers, product owners, core team members, and other stakeholders to ensure that quality data is available, reliable, and easily accessible in a cost effective efficient, scalable way.

Key Responsibilities

Key Responsibilities:
•
Data Pipeline Development: Design, build, and maintain robust, scalable, and efficient data pipelines to collect, process, and store large volumes of data from various sources.
•
Data Integration: Integrate data from multiple sources, including APIs, databases, and external datasets, ensuring data consistency and reliability.
•
Data Modelling: Develop and maintain data models and schemas that support efficient data storage, retrieval, and analytics.
•
Database Management: Manage and optimize databases, ensuring their performance, availability, and security
•
Data Quality: Implement and monitor data quality checks to ensure the accuracy, completeness, and consistency of data. Perform analysis required to troubleshoot data related issues and assist in the resolution of data issues.
•
Automation: configure data extraction and load jobs and automate repetitive tasks and processes to improve efficiency and reduce errors. Improve performances of jobs and pipelines by applying optimisation and automation techniques.
•
Documentation: Maintain clear and comprehensive documentation of data pipelines, data models, and data integration processes. Maintenance of time allocation reports.
•
Develop understanding of business/ processes and high-level understanding of high-quality digital product delivery
•
Ways of working: Follow Agile and SDLC processes including the creation of data related user stories. Perform code peer reviews and testing as per SDLC or industry standards.
•
Collaboration: Work closely with internal customers, product owners, various core team members, and other stakeholders to understand their data needs and provide appropriate solutions. Technical collaboration and oversight with Vendors as required. Create SOWs and work packets with vendors as required.

Skill Requirements

Education:

Bachelor’s or Master’s degree in computer science, data science, software engineering, information systems or a similar field or equivalent experience.

Experience and skills:

Over 6 years’ experience as a Data Engineer or in a similar role.
Experience with data pipeline, ETL and workflow management tools (e.g., Databricks, Data Factory).
Proficiency in programming languages such as SQL, Python, R, or Scala.
Strong experience with SQL and database management (e.g., MySQL, PostgreSQL, SQL Server).
Excellent problem-solving and analytical skills.
Strong understanding of data architecture, data modelling, and ETL processes.
Ability to work in a fast-paced, dynamic environment and manage multiple tasks simultaneously.
Strong communication and collaboration skills.
Experience with best practice UX / UI design & development of Business Intelligence data visualisation / exploration tools (Power Bi, Qlik etc)
Familiarity with SDLC and Agile ways of working.
Familiarity with DevOps tools and practices (e.g. Jenkins, Azure DevOps, etc).
Familiarity with Atlassian tools like Bitbucket, JIRA, Confluence.

Preferred:

GxP and Non GxP SDLC experience
Knowledge of data governance and data security best practices.
MS Power Platform / power apps experience
Cloud DevOps knowledge (e.g. Terraform)
Certifications in cloud data technologies (e.g. Azure Data Fundamentals)
Basic data science experience and knowledge.

Other:

English language required.
May require travel 10-20% of time based on project locations.

Other Requirements
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senior maintenance engineer jobs in up

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