Engineer, Data Engineering

Job Description :

About the Role

We are looking for a Data Engineer with excellent analytical abilities in the GCP Ecosystem. At News Corp India our Data Warehouse is our primary product. You wont just move data; you will solve critical business problems by architecting high-performance automated data environments.

This isnt just about moving data from A to B. Youll be expected to understand the why behind the data solving complex business problems through efficient pipeline design and a Thinking Data mindset - where AI and advanced analytics are simply part of your standard toolkit.

The Technical Core

Data Warehousing: Expert-level BigQuery (Partitioning Clustering Slot Management).

Lakehouse Architecture: Implementing BigLake for unified governance. Distributed Processing: Processing large-scale datasets using PySpark on Dataproc.

Orchestration & Code: Python SQL and Cloud Composer (Airflow). DevOps: Terraform (IaC) CircleCI and GitHub.

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

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