BCG is Hiring for Data Engineer | Apply Now

Job Description:

Company Name	BCG
Position	Data Engineer
Qualifications	Bachelor’s / Master’s degree in computer science engineering/technology
Experience	2 – 4 Years
Location	Bangalore, New Delhi
CTC	Not Disclosed

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.

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

Bachelor’s / Master’s 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

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