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Big Data Engineer @ Adobe

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 Big Data Engineer

Job Description

Join Adobe in the heart of Bengaluru, where brand-new engineering meets outstanding innovation. As a Data Engineer, you will play a pivotal role in crafting the future of digital experiences. This is an outstanding opportunity to be part of a dynamic and ambitious team dedicated to developing a data platform, data pipelines, reports, and analysis. Your work will be instrumental in delivering powerful technology that empowers users globally.

What you will do

  • Build a data platform using big data processing and warehousing technologies.
  • Build, maintain, and ideate on frameworks and tools required to ingest, store, process and serve data for global scale, data-intensive systems.
  • Build data pipelines to publish reports and to power dashboards for ALM clients.
  • Collaborate with cross-functional teams to determine key interfaces for your projects and build them with quality and agility.
  • Do analysis and present key findings, insights and concepts to key influencers and leaders to help them make data driven decisions on business and product roadmap.
  • Support Machine Learning engineers and Data Scientists with their dataset needs for training the ML or statistical models and evaluating them.
  • Be aware of the latest open-source projects and technological breakthroughs in the data engineering space and explore them to build better and more effective solutions.
  • Drive innovation through research and experimentation, encouraging an environment where new ideas can thrive.
What you need to succeed
  • A bachelors degree in computer science or related fields.
  • At least 8 years of experience as a server-side developer, with at least 4 years in Data Engineering, with a consistent track record of designing, implementing, and delivering large scale, high-quality solutions.
  • Solid understanding and programming skill in languages such as Java or Python and frameworks and libraries based on them with a focus on data engineering.
  • Strong expertise and familiarity with various Big Data technologies and frameworks including Delta Lake, Apache Hive, Datahub, Apache Spark, Apache Flink, Apache Storm, Trino, and AWS EMR.
  • Strong familiarity with the concepts of RDBMS, Data Lake, Data Warehouse, Data Lakehouse, and Medallion Architecture.
  • Knowledge of at least one workflow orchestration tools such as Airflow or Oozie.
  • Experience working with ML engineers, Data Scientists, product and engineering leadership on their data and analysis needs.
  • Experience working with the DevOps teams to drive operationally excellent infrastructure.
  • Excellent problem-solving skills, with a consistent track record of delivering innovative solutions.
  • Ability to thrive in a collaborative, inclusive, and diverse workplace, embracing different perspectives and ideas.
  • Being comfortable with the ambiguity and having the ability to adapt to evolving priorities.
  • Be a team player by doing diligent code and design reviews, by doing knowledge sharing sessions and showcasing technical expertise in day-to-day work.
  • Keeping pace with the latest technologies in the big data engineering space and bringing new ideas to solve problems more efficiently.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Adobe
Location(s): Bengaluru

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Keyskills:   Computer science orchestration RDBMS Machine learning Workflow Data processing Open source Adobe big data Python

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