Description
About the role
Adobe is hiring a Data Engineer to design, build, and maintain high-performance data systems and services.
Responsibilities
- Design, build, and maintain scalable batch and real-time data pipelines on Azure Databricks using Apache Spark and Python.
- Write and optimize complex SQL queries for data aggregation, transformation, and analytics workloads.
- Develop and maintain analytics-ready data models, including fact tables, dimensions, rollups, metric layers, and gold-layer tables.
- Optimize the performance, cost efficiency, and reliability of Databricks workloads, tuning Spark jobs and Delta Lake tables.
- Collaborate with cross-functional stakeholders including product managers, data scientists, and software engineers to support self-serve analytics.
Eligibility
- Bachelor’s degree or equivalent experience in Computer Science or a related quantitative field.
- 1+ years of hands-on software development or data engineering experience.
- Mandatory Skills: Programming & Core CS, Data Platforms, Data Warehousing, AI/ML & Observability, DevOps & Cloud.
Skills
- Python, Node.js, REST APIs, Databricks, Apache Spark, Kafka, Data Modeling, Relational Databases, Columnar Data Stores, AI/ML, Observability Tools.
Benefits
- Best in Industry Standards salary package.
- Opportunity to work with a global leader in digital media and digital experience software.
- Collaborative and dynamic work environment.
Skills
· 9 totalRequired5
pythonsqlapache sparkdata modelingrelational databases
Nice to have4
node.jsrest apiskafkaai/ml
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