About The Position

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

Requirements

  • Bachelor’s in computer science or related streams.
  • 5+ years of work experience in Power BI Reporting/Data Engineering with solid focus of Power BI in enterprise environments.
  • Deep expertise in languages like DAX, Python, SQL and performance tuning.
  • Expert in Data modeling, Prototyping, performance tuning and data analysis techniques.
  • Ability to learn new software and technologies quickly and adapt to an ambitious and fast-paced environment.
  • Strong communication skills to translate between financial and technical concepts.
  • 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.
  • Ability to multi-task simultaneously different projects, having a positive outlook, motivated learner with strong interpersonal and written and verbal communication skills.

Nice To Haves

  • Good to have experience in Gen AI technologies.

Responsibilities

  • Build and maintain end to end BI solutions in Power BI: data models, semantic layers, and dashboards.
  • Write and optimize advanced DAX (measures, calculation groups, time intelligence) for correctness and performance.
  • Configure and monitor Power BI capacity, utilization, and refresh health; implement dataset aggregations, composite models, and performance guidelines.
  • Implement row level security on data and understand application security layer models in Power BI.
  • Develop ELT/ETL pipelines in Databricks using Delta Lake and medallion architecture on large data sets.
  • Support ad-hoc executive requests and weekly/quarterly/annual planning deliverables.
  • Help evaluate innovative technologies and incorporate them into technology stack.
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