Guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
Job Summary
Guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment.
Architect production-level data pipelines, including end-to-end pipeline load performance testing and optimisation.
Become a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflows.
Matching Summary
Guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment.
Skills & Requirements
Must-have
Apache Spark expertise
Big data pipeline architecture
Data lake technologies (Delta, Delta Live)
Cloud data warehousing (Redshift, Synapse, Snowflake)
SQL and Python/Scala/Java programming
ETL/ELT design and implementation
Customer-facing technical role
Nice-to-have
Databricks Certification
Streaming data ingestion
Hadoop workload migration
BI tools experience
Key Requirements
Extensive experience in a customer-facing technical role
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience
Production programming experience in SQL and Python, Scala, or Java
Professional experience with Big Data technologies (Spark, Hadoop, Kafka)