Software Developer

Key responsibilities: Design, build, and maintain scalable data pipelines on Databricks (ETL/ELT workflows) Develop high-quality, efficient code using Python (PySpark) and SQL for data transformation and processing Optimize data pipelines and Spark workloads for performance, scalability, and reliability Work with large-scale structured and unstructured datasets using Apache Spark and Delta Lake Collaborate with analysts, and stakeholders to deliver data-driven solutions Required Skills & Experience: Strong hands-on experience with Databricks and Apache Spark Advanced coding skills in Python (PySpark) and SQL (mandatory) Experience building data pipelines, ETL/ELT processes, and data models Good understanding of data warehousing and Lakehouse architectures Good understanding of PowerBI or other visualisation tools Familiarity with cloud platforms (Azure / AWS / GCP) Any past experience working in the retail industry (not a must have, but a good to have)