GCP Data Engineer – Contractual Role

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🕒 October 12, 2025

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Ciphercru Innovation Pvt Ltd

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🤝 B2B

☁️ SaaS

🤖 Artificial Intelligence

B2B • SaaS • Artificial Intelligence

Ciphercru Innovation Pvt Ltd is a technology services and software development company that builds custom web and mobile applications, AI/ML integrations, and enterprise solutions such as ERP and e‑commerce platforms. The firm provides cross‑platform development, DevOps/cloud infrastructure, UI/UX design, and technical staffing services, serving startups and enterprises across multiple countries with a team of experienced engineers and a history of client engagements.

📋 Description

• Design, build, and maintain scalable data pipelines on GCP. • Work with Azure Data bricks to support data processing and ML workflows. • Build and manage DBT models for data transformation, quality checks, and reporting. • Handle structured and unstructured data using modern cloud data stack technologies. • Implement secure coding practices and ensure compliance with data privacy standards (PII handling). • Collaborate with data scientists to product ionize machine learning models. • Integrate and analyze data from various retail sources (in-store POS and e-commerce platforms). • Monitor and optimize data workflows for performance, scalability, and cost efficiency. • Work closely with cross-functional teams to deliver robust and reliable data solutions.

🎯 Requirements

• 5+ years of experience in data engineering or related roles. • Strong expertise in Google Cloud Platform (GCP) data services (BigQuery, Data flow, Pub/Sub, Cloud Functions). • Experience working with Azure Data bricks for data processing. • Hands-on experience with DBT (Data Build Tool) in production environments. • Proficiency in Python and SQL for data processing and ETL pipelines. • Experience with data orchestration tools (Airflow, Cloud Composer). • Knowledge of secure coding practices and handling PII data. • Experience working with unstructured data (logs, media, text, etc.). • Understanding of retail datasets (offline and online channels). • Familiarity with data science concepts and supporting ML model product ionization. • Excellent communication and collaboration skills.