Data Engineer

Company Description ThreatXIntel is a growing Cybersecurity, IT Staffing, and Consulting company delivering end-to-end technology and security solutions. We are hiring for our corporate client . ThreatXIntel is the official hiring partner for this requirement.

Job Overview We are looking for a Data Engineer with strong hands-on experience in GCP and Databricks , along with exposure to Azure data services . The ideal candidate should be capable of building scalable data pipelines, data platforms, and cloud-based data solutions , and should be ready to join immediately (within 2 days) . Immediate joiners are mandatory (0–2 days only) Key Responsibilities Data Engineering & Development Build and maintain ETL/ELT pipelines on GCP and Databricks Work with BigQuery, Dataproc / Spark, and cloud storage systems Develop scalable data processing solutions using PySpark / SQL Databricks & Lakehouse Design and implement Databricks-based data pipelines Work with Delta Lake and Lakehouse architecture concepts Azure Exposure Work with Azure Data Services (ADF, Synapse, Data Lake – good to have) Pipeline & Integration Integrate data from multiple sources into enterprise platforms Ensure data quality, performance, and scalability Collaboration Work with cross-functional teams (analytics, engineering, business) Support production systems and troubleshoot pipeline issues Required Skills (Mandatory) Strong experience in GCP Data Services (BigQuery, Dataproc / Spark) Hands-on experience with Databricks Strong programming skills in Python / PySpark / SQL Experience in ETL/ELT pipeline development Knowledge of data modeling and data warehousing concepts Nice to Have Experience with Azure Data Factory / Synapse / Data Lake Exposure to real-time data processing (Pub/Sub, Kafka, etc.) Experience with CI/CD pipelines