Vaishali Ghaziabad Uttar Pradesh Senior data engineer Jobs – 559 Open Jobs Today

Senior Data Analytics Engineer
Oxford University Press Pakistan —Noida Sector 62, Noida, Uttar Pradesh
- SQL
- Analysis skills
- Communication skills
Senior Data Engineer
Clarivate —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Computer Science
- SQL
- AWS
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Senior Data Engineer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- SQL
- APIs
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Senior Data Engineer
Ameriprise India —Noida, Uttar Pradesh
- Full-time
- Computer Science
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Senior Data Engineer
Ashra Technology —Noida, Uttar Pradesh
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- Email
- Hybrid work
- Databases
- SQL
- AWS
Quick apply
14d
Senior Big Data Engineer II
MetLife —Noida, Uttar Pradesh
- Full-time
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- Azure
- Computer Science
- DevOps
5d
Senior Advanced Data Engineer
Cotality —Noida, Uttar Pradesh
- Full-time
- Azure
- Software troubleshooting
- B.Sc
- Paid holidays
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Data Analyst / Data Engineer
Labham PPPB Infrareality —Noida, Uttar Pradesh
- ₹1,50,000 - ₹1,80,000 a month
- Full-time
- Azure
- Bachelor's degree
- Mentoring
Quick apply
14d
Senior Data Engineer
Darkroom —Delhi, Delhi
- Full-time
- Remote
- Master's degree
- SQL
- APIs
- Paid time off
Senior Big Data Engineer (Scala | PySpark | AWS Glue | Databricks)
WebSenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
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5d
Data Science - Senior Engineer
Iris Software —Noida, Uttar Pradesh
- Azure
- Computer Science
- Java
- Health insurance
Senior Engineer
Barclays —Noida, Uttar Pradesh
- SQL
- AWS
- Analysis skills
1d
Senior QA Engineer
Manual2ai Private Limited —Noida Sector 62, Noida, Uttar Pradesh
- ₹30,000 - ₹50,000 a month
- Full-time
- SQL
- APIs
- In-person
Quick apply
6d
Senior Data Engineer
Adobe —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Databases
8d
AP - Senior AI Engineer (India) - Remote
D2B —Delhi, Delhi
- ₹1,55,000 - ₹3,90,000 a month
- Full-time
- Remote
- Azure
- CAD
- Master's degree
- Work from home
Quick apply
14d
Senior Systems Engineer II
SBS —Noida, Uttar Pradesh
- Hybrid work
- Salesforce
- Java
- JavaScript
- Health insurance
- Paid time off
2h
Data Engineer Senior Consultant
NTT Ltd —Noida, Uttar Pradesh
- AWS
- AI
8d
Senior Cloud Engineer
apexanalytix —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Windows
Quick apply
Senior Data Engineer – GenAI & Unstructured Data Pipelines
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick apply
Senior Software Engineer (SDE 3) — Frontend
Masters India Private Limited —Noida, Uttar Pradesh
- Full-time
- System design
- Master's degree
- Continuous improvement
Quick apply

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Senior Data Analytics Engineer

Oxford University Press Pakistan -
Noida Sector 62, Noida, Uttar Pradesh

Apply Now

Job details

Qualifications

Data structures
R
Alteryx
Git
SQL
Analysis skills
Quality assurance
ETL
Root cause analysis
Communication skills
Python

Full job description

Location:
Noida Sector 62, UP, IN, 201309

Salary:
Nil

Division:
Academic

Department:
Academic Sales Operations

Job Title

Title: Senior Data Analytics Engineer (GJC 6)
Department: Academic, Sales Operations
Location: Sector - 62, Noida, India

About the Role
Introduction – the ‘why’

Oxford University Press is looking for a Senior Data Analytics Engineer to play a critical role in enabling high-quality, trusted, and governed data across our Academic division. This is an excellent opportunity for an experienced data professional who enjoys solving complex data challenges, working with multiple stakeholders, and building scalable data solutions that drive business decisions.

In this role, you will be the technical expert for Academic data sources and will have the opportunity to shape and maintain certified data workflows that support reporting, analytics, automation, and customer-facing services. You will work closely with data analysts, data engineers, business stakeholders, and enterprise data teams, giving you exposure to a broad range of business and technical initiatives.

This role offers the chance to work with modern data engineering practices, including ETL processes, data modelling, workflow automation, and programming languages such as SQL, Python, and R. You will also contribute to improving data quality, governance, and accessibility across Academic, while helping drive standardisation and best practices within the wider Data & Analytics team.

Opportunity – the ‘what’

As the Senior Data Analytics Engineer, you will be responsible for producing clean, accurate, and timely datasets for Academic. You will collaborate with cross-functional teams to understand business requirements, define analytical and operational objectives, and deliver data solutions that support business needs.

Key responsibilities include:

Interacting with data analysts and business stakeholders to understand requirements and deliver datasets needed for analysis.
Collaborating with group data functions to understand OUP’s wider data architecture and roadmap, identifying future opportunities and risks.
Supporting the Academic Data & Analytics team in troubleshooting data quality issues and coordinating resolution with relevant stakeholders.
Driving the rollout of Alteryx Server and managing the server environment on behalf of the team.
Compiling, maintaining, and governing a suite of approved data workflows.
Performing data modelling, transformation, and ETL processes across core data sources to support analytics and operational use cases.
Integrating data from multiple systems into unified datasets using SQL, Python, R, or similar technologies.
Identifying opportunities to improve processes and streamline data delivery.
Supporting the Lead Data Analytics Engineer and Principal Data Engineer in standardising the integration of legacy and disparate systems.
Validating data integrity, identifying anomalies, and implementing quality assurance measures to ensure data accuracy.
Maintaining thorough documentation of data assets, workflows, and processes.
Ensuring adherence to data governance standards and best practices.
Mentoring Data Analytics Engineers on workflow management, tooling standards, and engineering best practices.

Impact of the role

The role is critical in establishing and maintaining core aggregated data sources that enable Academic analytics, reporting, automation, and customer-facing services. You will help deliver certified and governed data workflows, improve data accessibility and quality, support strategic decision-making, and strengthen data governance across the Academic division.

Success in this role will be demonstrated through:

Creation of core aggregated data sources for Academic analysis and automation.
Delivery of certified data workflows that support governed reporting and analytics.
Effective management of multiple projects and priorities while meeting agreed timelines.
Strong collaboration with stakeholders to ensure outputs meet business requirements.
Clear, accurate, and comprehensive documentation.

About You
Essential Criteria

Proficiency in SQL and programming languages such as Python and R.
Strong numerical and analytical skills with experience developing and maintaining complex data structures.
Proven ability to conduct root cause analysis and troubleshoot data and data-related processes.
Strong problem-solving capability and excellent attention to detail.
Ability to work collaboratively across cross-functional teams and manage multiple projects simultaneously.
Excellent written and verbal communication skills, including the ability to explain complex concepts to non-technical stakeholders.
Experience using Git-based workflows, including branching, pull requests, and code reviews, to manage data pipelines, infrastructure, and transformation logic.

Desirable Criteria

Experience working with data governance policies and compliance requirements, including GDPR.
Experience with BI and workflow automation tools such as Alteryx Designer, Alteryx Server, or similar platforms.

Queries

Please contact [email protected] with any queries relating to this role.

Salary

Dependent on skills and experience

Please apply on Careers.oup.com.

We are committed to supporting diversity in our workforce, and ensuring an inclusive environment where all individuals can thrive. We seek to employ a workforce representative of the markets that we serve and encourage applications from all.

Job Category:
Technology

Apply Now

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