Adobe Recruitment 2026
Adobe
Key Responsibilities
- As a Data Engineer on the Creative Cloud engineering team at Adobe, you will design, build, and maintain high-performance data systems and services. You will work like a startup inside Adobe to deliver batch and real-time data pipelines powering global web and mobile products.
- 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.
- Apply software engineering best practices like incremental/idempotent processing, MERGE patterns, and data partitioning.
- Collaborate with cross-functional stakeholders including product managers, data scientists, and software engineers to support self-serve analytics.
- Implement data validation rules, automated quality checks, and monitoring systems to ensure trusted metric pipelines.
- Contribute to solutions integrating structured and unstructured data, utilizing GenAI and Large Language Model (LLM) capabilities where appropriate.
- 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.
- Apply software engineering best practices like incremental/idempotent processing, MERGE patterns, and data partitioning.
- Collaborate with cross-functional stakeholders including product managers, data scientists, and software engineers to support self-serve analytics.
- Implement data validation rules, automated quality checks, and monitoring systems to ensure trusted metric pipelines.
- Contribute to solutions integrating structured and unstructured data, utilizing GenAI and Large Language Model (LLM) capabilities where appropriate.
Skills & 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.
- Programming & Core CS: Strong Computer Science fundamentals with hands-on experience in Python, Node.js, and REST APIs.
- Data Platforms: Hands-on experience or strong interest in data platforms and streaming tools like Databricks, Apache Spark, or Kafka.
- Data Warehousing: Solid grasp of data modeling, relational databases, and columnar data stores.
- AI/ML & Observability: Working awareness of AI/ML concepts and familiarity with observability tools like Grafana, Splunk, or Prometheus.
- DevOps & Cloud: Basic understanding of Docker, Kubernetes, CI/CD pipelines, and cloud environments (AWS or Azure).
- Hands-on experience with prompt engineering or building data pipelines for LLM workflows.
- Experience with Agile development processes and multi-platform app development.
- Programming & Core CS: Strong Computer Science fundamentals with hands-on experience in Python, Node.js, and REST APIs.
- Data Platforms: Hands-on experience or strong interest in data platforms and streaming tools like Databricks, Apache Spark, or Kafka.
- Data Warehousing: Solid grasp of data modeling, relational databases, and columnar data stores.
- AI/ML & Observability: Working awareness of AI/ML concepts and familiarity with observability tools like Grafana, Splunk, or Prometheus.
- DevOps & Cloud: Basic understanding of Docker, Kubernetes, CI/CD pipelines, and cloud environments (AWS or Azure).
- Hands-on experience with prompt engineering or building data pipelines for LLM workflows.
- Experience with Agile development processes and multi-platform app development.
Note: This job is posted on external sites. Joblit shares the listing for convenience and does not take responsibility for third-party content.
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