Adobe Recruitment 2026:
Adobe is hiring a Data Engineer at Bangalore . The complete details about Adobe Recruitment 2026Β as follows.
| Job Role | Data Engineer |
| Qualification | B.E/B.Tech/B.Sc/BCA |
| Experience | 1+ Years |
| Job Location | Bangalore |
Required Qualification :- Bachelorβs degree or equivalent experience in computer science.
What you need to succeed:
- Bachelorβs degree or equivalent experience in computer science.
- 1+ years of software development experience.
- Strong CS fundamentals with hands-on experience in Python; working knowledge of Node.js and REST APIs.
- Some experience with, or strong interest in, data pipelines and data platforms (e.g., Databricks, Spark, Kafka, or similar).
- Foundational understanding of data modelling and data warehousing, ideally with some hands-on exposure to relational and columnar databases.
- Working knowledge of AI/ML concepts, including curiosity about integrating ML/LLM models into data systems.
- Familiarity with observability tools like Grafana, Splunk, or Prometheus is a plus.
- Exposure to container technologies (Docker, Kubernetes) and CI/CD pipelines.
- Some familiarity with AWS or Azure cloud services and basic cloud security concepts.
- A genuine interest in learning new technologies quickly.
- A thoughtful approach to problem-solving, with a drive to improve processes and keep learning.
- Good verbal and written communication skills; able to articulate ideas clearly and collaborate effectively.
Bonus Qualifications:
- Experience developing for multiple devices and platforms.
- Experience with Agile development processes.
- Some hands-on experience with prompting or building data pipelines for LLM workflows.
- A good sense of humour!
What youβll do:
- Design, build, and maintain data pipelines on Azure Databricks using Apache Spark and Python, covering both batch and real-time workloads.
- Write and optimize SQL for data transformation, aggregation, and analytics workloads.
- Help develop and maintain analytics-ready data models (fact tables, dimensions, rollups, metric layers, and gold layer tables) used for dashboards and reporting.
- Support performance, reliability, and cost efficiency of Databricks workloads, including tuning Spark jobs and Delta Lake tables, and applying good practices like incremental/idempotent processing, MERGE patterns, and partitioning.
- Partner with cross-functional stakeholdersβincluding product managers, data scientists, business analysts, and engineersβto build solutions that enable reliable, self-serve analytics.
- Implement data quality checks, validation, and monitoring to help ensure accurate and trusted analytics metrics.
- Follow and contribute to data engineering best practices, including version control and documentation.
- Design and develop new features and tools in collaboration with other engineers, product managers, designers, and user researchers.
- Contribute to solutions that integrate structured and unstructured data, including selective use of GenAI/LLM-based capabilities where relevant.
- Grow with the support of your team, and support your teammates in turn by sharing feedback and pitching in where you can.
- Be part of building an inclusive team that welcomes diverse opinions.
- Work closely with customers to understand their workflows and needs, and adapt quickly based on their feedback.
- Be part of a team that works like a startup inside Adobe, giving you the best of both worlds.
Adobe Recruitment 2026Β Application Process:-
Apply In Below Link-
Apply Link:-Β Click Here To Apply (Apply before the link expires)
NOTE :- Only shortlisted candidates will receive the call letter for further rounds
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