GCP Data Engineer

Company Description

Zee Entertainment Enterprises Limited is a leading global content company with a diverse presence across broadcasting, digital platforms, movies, music, and live entertainment. With a footprint spanning over 190 countries, Zee connects and entertains over 1.3 billion people worldwide. For nearly three decades, Zee has been at the forefront of the Media & Entertainment industry, delivering diverse and extraordinary entertainment content. The company aspires to delight audiences across genres, languages, and platforms, catering to the evolving preferences of viewers globally.

Role Description

This is a full-time on-site role for a GCP Data Engineer, located in Noida. The GCP Data Engineer will be responsible for designing, building, and optimizing scalable data pipelines, ensuring efficient Extract, Transform, Load (ETL) processes, and developing robust data models to support business needs. The role involves maintaining data warehouses, working with data analytics teams to provide actionable insights, and supporting infrastructure on Google Cloud Platform (GCP).

Location: Noida/Mumbai

Immediate Joiners - 15 days (preferred)

Qualifications

• With 4+ years of experience in Data Engineering and proficiency in handling large datasets with optimized processes
• Proficient in Data Modeling and developing efficient data architecture
• Proven experience with Extract, Transform, Load (ETL) processes and tools
• Experience in Data Warehousing and managing storage solutions effectively
• Good Understanding in AI models and working knowledge with AI and training the models is a plus.
• Understanding of Data Analytics to extract actionable insights and support business decisions
• Bachelors or masters degree in Computer Science, Data Engineering, or a related field
• Experience with GCP-based data tools and services is highly preferred
• Strong problem-solving skills and the ability to work in a collaborative, on-site environment

Key Skills

• Programming: Python, SQL, Shell scripting
• ETL/ELT: Data ingestion, transformation, and loading using GCP-native and open-source tools
• Data Mining: Pattern detection, anomaly analysis, clustering, segmentation
• Data Filtering: Complex query optimization, row-level filtering, data sampling
• Storage & Processing: Cloud Storage, Big Query, Pub/Sub, Firestore, Cloud Functions