Senior Data Engineer – Data & Intelligence

We are seeking a Senior Data Engineer with strong expertise in Snowflake, Databricks, dbt, Azure, and streaming technologies to build scalable finance data platforms supporting T-Mobile’s Finance & Intelligence organization. The ideal candidate will have deep experience in batch and real-time data pipelines, advanced SQL/Python development, and finance domain knowledge including billing, revenue, GL, and OPEX. Key Responsibilities Data Engineering • Design and develop scalable ELT/ETL pipelines for finance data platforms. • Implement batch, incremental, and CDC-based ingestion frameworks. • Build reliable, idempotent, and production-grade pipelines with monitoring and error handling. Snowflake & Databricks • Develop and optimize pipelines using: • Snowflake (Snowpipe, Streams, Tasks, Dynamic Tables) • Databricks (PySpark, Delta Live Tables, Unity Catalog) • Optimize query performance, partitioning, and compute usage. dbt & Orchestration • Build and maintain dbt models, snapshots, tests, and macros. • Orchestrate workflows using Airflow or Azure Data Factory. Streaming & Cloud • Build real-time pipelines using Kafka/Event Hub and Spark Structured Streaming. • Work with Azure services including ADLS Gen2, ADF, Event Hub, Azure Functions, and Key Vault. • Exposure to AWS services is a plus. Data Quality & Governance • Implement data quality validations, testing, and SLA monitoring. • Apply RBAC, data security, lineage, and compliance standards. Leadership & Collaboration • Own end-to-end delivery of complex data pipelines. • Mentor junior engineers and perform code reviews. • Collaborate with architects, analysts, and business stakeholders. • Participate in production support and on-call rotation. Required Qualifications • 8+ years of experience in Data Engineering. • Strong hands-on experience with: • Snowflake • Databricks & PySpark • dbt • Advanced SQL • Python • Airflow or ADF • Experience with streaming technologies (Kafka/Event Hub). • Experience building finance or regulated-domain data platforms. Preferred Qualifications • Telecom domain experience (ARPU, churn, prepaid/postpaid metrics). • Experience supporting financial reporting and close cycles. • Azure/AWS certifications preferred. Mandatory Skills • Advanced SQL • Snowflake • Databricks & PySpark • Python • dbt • Airflow / ADF • Azure Cloud • Kafka / Structured Streaming About Brickred Systems Brickred Systems is a global leader in next-generation technology, consulting, and business process services. We enable clients to navigate their digital transformation across multiple industries worldwide. Certified with ISO 27001 & ISO 9001, with over a decade of experience managing global enterprise systems. We harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics, and emerging technologies to help our clients succeed in the digital world and make them successful. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.