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
- Gratuity calculator
  
  Check your gratuity amount
- HRA calculator
  
  Check how much of your HRA is tax-free
- Salary hike calculator
  
  Check your salary hike
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 1K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  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

Premium Employer

BCG

Compare

3.8

based on 367 Reviews

36 BCG Jobs

Data Engineer - X Delivery

Boston Consulting Group

3.8

based on 367 Reviews

2-4 years

₹ 11 - 20.5L/yr (AmbitionBox estimate)

Bangalore / Bengaluru

1 vacancy

Data Engineer - X Delivery

BCG

posted 3mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics Python Consulting Automation Testing Machine Learning Web Development

+ 3 more

Job Description

As a part of BCGs X team, you will work closely with consulting teams on a diverse range of advanced analytics and engineering topics. You will have the opportunity to leverage analytical methodologies to deliver value to BCGs Consulting (case) teams and Practice Areas (domain) through providing analytical and engineering subject matter expertise.As a Data Engineer, you will play a crucial role in designing, developing, and maintaining data pipelines, systems, and solutions that empower our clients to make informed business decisions. You will collaborate closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to deliver high-quality data solutions that meet our clients needs.

YOURE GOOD AT

Delivering original analysis and insights to case teams, typically owning all or part of an analytics module whilst integrating with a case team. Design, develop, and maintain efficient and robust data pipelines for extracting, transforming, and loading data from various sources to data warehouses, data lakes, and other storage solutions.
Building data-intensive solutions that are highly available, scalable, reliable, secure, and cost-effective using programming languages like Python and PySpark.
Deep knowledge of Big Data querying and analysis tools, such as PySpark, Hive, Snowflake and Databricks.
Broad expertise in at least one Cloud platform like AWS/GCP/Azure.Working knowledge of automation and deployment tools such as Airflow, Jenkins, GitHub Actions, etc., as well as infrastructure-as-code technologies like Terraform and CloudFormation.
Good understanding of DevOps, CI/CD pipelines, orchestration, and containerization tools like Docker and Kubernetes.
Basic understanding on Machine Learning methodologies and pipelines.
Communicating analytical insights through sophisticated synthesis and packaging of results (including PPT slides and charts) with consultants, collecting, synthesizing, analyzing case team learning inputs into new best practices and methodologies.

Communication Skills:

Strong communication skills, enabling effective collaboration with both technical and non-technical team members.

Thinking Analytically

You should be strong in analytical solutioning with hands on experience in advanced analytics delivery, through the entire life cycle of analytics. Strong analytics skills with the ability to develop and codify knowledge and provide analytical advice where required.

What Youll Bring

Bachelors / Masters degree in computer science engineering/technology
At least 2-4 years within relevant domain of Data Engineering across industries and work experience providing analytics solutions in a commercial setting.
Consulting experience will be considered a plus.
Proficient understanding of distributed computing principles including management of Spark clusters, with all included services - various implementations of Spark preferred.
Basic hands-on experience with Data engineering tasks like productizing data pipelines, building CI/CD pipeline, code orchestration using tools like Airflow, DevOps etc.Good to have:-
Software engineering concepts and best practices, like API design and development, testing frameworks, packaging etc.
Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
Knowledge on web development technologies.
Understanding of different stages of machine learning system design and development