-to for pipeline and cloud topics. Your Skills and Experience Essential Experience with data solution BAU processes (ETL, table... refresh etc.) Experience in Big Data data integration technologies such as Spark, Kafka Experience in programming language...
engineering standards. Cloud experience (any platform). Previous mentoring experience. Nice to have: Snowflake... or Databricks Spark, PySpark, Hadoop or similar big data tooling BI exposure (PowerBI, Tableau, etc.) Interview Process The...
by applying deep technical expertise across software engineering, cloud platforms, and operational best practices. They act... seamless integration from data ingestion through model deployment and monitoring. Cloud Platform Delivery: Works...
. What will you be doing? Develop and optimise data ingestion pipelines and transformations within the Quantexa platform using Spark... integration of Quantexa into broader enterprise data architectures, working closely with cloud, security, and DevOps teams...
: Understanding of marketing KPIs (Open Rate, CTR, Conversion) and how AI can directly impact them. Cloud Experience: Familiarity... with deploying ML services on cloud platforms (AWS/GCP/Azure). What's in it for you The expected range for this role...
(e.g., pandas). Solid understanding of ETL concepts, data modelling, and pipeline design. Experience with Spark and cloud.... Job responsibilities Design, build, and optimize data pipelines and transformation workflows on Databricks, leveraging Python and Spark...
across cloud, data and software domains You'll work with Containers and Kubernetes, develop in Python, and use Spark for data...
collaboration and driving technical excellence. Architect and implement robust, cloud-first data solutions. Drive migration... Engineer. Hands-on experience with Databricks and PySpark/Spark SQL. Strong expertise with the Azure data platform (Data...
, leveraging modern cloud-based AI platforms. Your client impact Develop, and deploy end-to-end machine learning models... Familiarity with distributed computing frameworks (eg Spark) Knowledge of graph neural networks, reinforcement learning...
, focusing on data ingestion and processing - utilising appropriate cloud native technologies and services. Data pipeline... production ETL/ELT pipelines (batch + streaming) using a popular framework (Spark, Flink, Dataflow, etc). Streaming: Hands...