Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 1K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

RATE NOW!
- ABECA 2025
  
  RATE NOW!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Employer? Claim Account for FREE

The Economist

Compare

3.9

based on 16 Reviews

6 The Economist Jobs

Senior Data Engineer

The Economist Newspaper Limited

3.9

based on 16 Reviews

4-11 years

Gurgaon / Gurugram

1 vacancy

Senior Data Engineer

The Economist

posted 2mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics Python Architecture Machine Learning SAP Business Intelligence Agile Coaching

+ 4 more

Job Description

The Economist Intelligence Unit (EIU) is a world leader in global business intelligence. We help businesses, the financial sector and governments to understand how the world is changing and how that creates opportunities to be seized and risks to be managed.

At our heart is a 50 year forward look, a global forecast of the majority of the world s economies, we seek to analyse the future and deliver that insight through multiple channels and insights, allowing our clients to take better trading, investment and policy decisions.

We re changing, embedding alternate data sources such as GPS and satellite data into our forecasting, products will increasingly be tailored to individual clients, driven by some of the most innovative data in the market. A highly collaborative team of Product Managers, Customer Experience and Product Engineering is being created with a focus on creating business and customer value driven by real time analytics alongside our traditional products.

We are transitioning to operating with agile product teams and adopting cloud native engineering practices and we need your help. As a back-end developer you will work with an amazing team of developers, designers and product managers to design and build applications to service the Economist Intelligence Unit (EIU) clients.

Accountabilities

How you will contribute:

Build data pipelines: Architecting, creating and maintaining data pipelines and ETL processes in AWS
Support and Transition: Support and optimise our current desktop data tool set and Excel analysis pipeline to a transformative Cloud based highly scalable architecture.
Work in an agile environment: within a collaborative agile cross-functional product team using Scrum and Kanban
Collaborate across departments: Work in close relationship with data science teams and with business (economists/data) analysts in refining their data requirements for various initiatives and data consumption requirements
Educate and train: Required to train colleagues such as data scientists, analysts, and stakeholders in data pipelining and preparation techniques, which make it easier for them to integrate and consume the data they need for their own use cases
Participate in ensuring compliance and governance during data use: To ensure that the data users and consumers use the data provisioned to them responsibly through data governance and compliance initiatives.
Work within, and encourages a Devops culture and Continuous Delivery process

Experience, skills and professional attributes

The ideal skills for this role include:

Experience with programing in Python, Spark and SQL
Prior experience in AWS services (Such as AWS Lambda, Glue, Step function, Cloud Formation, CDK)
Knowledge of building bespoke ETL solutions
Data modelling, and T-SQL for managing business data and reporting
Capable of technical deep-dives into code and architecture
Ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management
Experience in working with data science teams in refining and optimizing data science and machine learning models and algorithms.
Effective communication skills