Data Engineer

News Corp; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

News Corp in Bengaluru is seeking a mid‑level Data Engineer to develop, deploy, and maintain scalable ETL/ELT pipelines in Google Cloud Platform. You will work with PySpark on Dataproc, Cloud Composer, and BigQuery to transform data for analytics and reporting.

You’ll collaborate with senior engineers, improve data quality, implement CI/CD and IaC tooling, and learn new GCP services to enhance data processing. Prior experience in the News/Media industry is a plus.

Qualifications

• 2–4 years of hands-on data engineering experience.
• Solid knowledge of GCP services, esp BigQuery, Cloud Composer, Dataproc.
• Proficiency in Python and SQL.
• Experience with Dataform for workflow management.
• Understanding of Star Schema and Snowflake data modeling.
• Experience with CI/CD and Infrastructure-as-Code.
• Nice to have News/Media domain experience.

Responsibilities

• Develop, deploy, and maintain scalable ETL/ELT pipelines in GCP using Cloud Composer and PySpark on Dataproc.
• Optimize queries with BigQuery features like Partitioning, Clustering, and Materialized Views.
• Assist in BigLake components for unified governance of structured and unstructured data.
• Use Terraform and CircleCI for deployment and infrastructure management.
• Implement robust logging, monitoring, and data quality checks in pipelines.
• Collaborate with senior engineers and cross-functional teams to translate requirements into data solutions.
• Continually learn new GCP services and tools to enhance data processing capabilities.

Skills

Python

SQL

BigQuery

GCP

Data Modeling

CI/CD

Star Schema/Snowflake

Education

Bachelor's degree in Computer Science or related field

Tools

Dataform

Terraform

CircleCI

Dataproc

Cloud Composer

Job description

Job Description :

Key Responsibilities

The Data Engineer will primarily focus on the development, deployment, and operational maintenance of the data pipelines.

• Pipeline Development & Maintenance: Develop, deploy, and maintain scalable ETL/ELT pipelines in GCP using Cloud Composer and PySpark on Dataproc following established architectural patterns.
• Performance Optimization: Implement and utilize BigQuery features like Partitioning, Clustering, and Materialized Views to improve query performance and contribute to GCP cost management.
• Data Integration: Assist in the implementation of BigLake components to ensure structured and unstructured data is accessible with unified governance.
• Code & Infrastructure Deployment: Utilize Terraform and CircleCI for deploying and managing pipeline code and related infrastructure to ensure a modular and reproducible environment.
• Data Operations & Monitoring: Implement robust logging, alerting, and data quality checks within pipelines to actively monitor data flow and ensure data reliability.
• Collaboration: Work with senior engineers and cross-functional teams to understand business requirements and translate them into efficient data solutions.
• Skill Development: Proactively seek out and learn new GCP services and tools to enhance data processing capabilities.

Skills & Competencies

• Experience: Mid Level - 2 - 4 years of hands‑on Data Engineering experience.
• GCP Proficiency: Solid knowledge of GCP services with a focus on BigQuery, DataForm, Cloud Composer, Cloud Storage, Cloud functions and Dataproc.
• Transformation Tools: Proficiency in Dataform for managing version‑controlled SQL workflows and modeling within BigQuery.
• Strong Coding: Excellent Python and SQL skills. You write modular code that is easy to test and maintain.
• Architectural Knowledge: Solid understanding of Data Modeling (Star Schema, Snowflake) and Data Operations.
• Automation Mindset: Experience with CI/CD tools and Infrastructure-as-Code is essential.
• Domain Knowledge: Experience in the News or Media industry is a strong plus.

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic.

Reasonable Accommodation

We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at [e-mail]. Please put “Reasonable Accommodation” in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.

Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations.