Senior Data Enginner with Matillion exp

Role Overview We are looking for an experienced and results-driven Data Engineer to join our growing Data Engineering practice. The ideal candidate will be proficient in building scalable, high-performance data transformation pipelines using Snowflake, Azure Databricks, and Matillion, and will thrive in fast-paced, client-facing consulting environment. In this role, you will be instrumental in ingesting, transforming, and delivering high-quality data to enable data-driven decision-making across our clients' organizations owning your deliverables like a true Tech Doctor. Key Responsibilities Design, configure, and optimize ingestion, transformation, and orchestration workflows using Matillion DPC where applicable. Design and implement scalable ELT pipelines using dbt on Snowflake, following industry-accepted best practices. Build and maintain data processing workloads on Azure Databricks (PySpark/Spark SQL), including notebooks, jobs, Delta Lake tables, and Lakehouse/medallion architectures. Build ingestion pipelines from various sources including relational databases, APIs, cloud storage, and flat files into Snowflake and Databricks (Delta Lake). Implement data modelling and transformation logic to support layered architecture (staging, intermediate, and mart layers, or medallion architecture) to enable reliable and reusable data assets. Leverage orchestration tools (e.g., Airflow, dbt Cloud, Azure Data Factory, or Databricks Workflows) to schedule and monitor data pipelines. Apply CI/CD and Git-based workflows for version-controlled deployments. Write well-documented, maintainable code using Git for version control and CI/CD processes. Required Qualifications Mandatory: Hands-on experience with Azure Databricks developing and deploying pipelines using PySpark/Spark SQL, Delta Lake, notebooks, clusters, and Databricks Workflows/Jobs in a production environment. Hands-on experience with Matillion Data Productivity Cloud (Matillion DPC) for data ingestion, transformation, or orchestration. Expert-level SQL and strong understanding of ELT principles; strong understanding of ELT patterns and data modelling (Kimball/Dimensional preferred). Experience with Git, CI/CD, and deployment workflows in a team setting. Familiarity with orchestrating workflows using tools like dbt Cloud, Airflow, Azure Data Factory, or Databricks Workflows. Comfort with ambiguity, competing priorities, and fast-changing client environments we move fast and adapt faster. Passion for continuous learning and knowledge sharing (tech talks, meetups, internal upskilling). .