Engineer - Data Engineering & Analytics

Job Description

Implement real-time ETL/ELT pipelines on enterprise data platforms, including Databricks, Snowflake, Microsoft Fabric, Cloudera, Informatica IDMC, or Oracle

Implement data workflows using technologies such as Databricks Lakeflow, Fabric Data Factory, Azure Data Factory, Informatica Cloud Data Integration, Snowflake Streams & Tasks, and Apache Airflow

Implement Change Data Capture (CDC) and streaming ingestion using one or more technologies, including Oracle GoldenGate, Apache Kafka, and Spark Structured Streaming Apply dimensional data modelling, including Kimball star schemas, to deliver analytics-ready data marts Implement data governance, security, data quality, and lineage using Databricks Unity Catalog, Microsoft Purview, Cloudera SDX, and Informatica Data Quality Apply DataOps practices, including Git-based version control, CI/CD for data pipelines, automated testing, and Infrastructure as Code Monitor, troubleshoot, and optimise production pipelines for performance and cloud cost efficiency, supporting the practice's 99.90% uptime SLA commitment