Join Adobe in Noida as a Lead Data Engineer to shape the future of Digital Media Analytics. This pivotal role involves crafting a modern data platform, building and maintaining data pipelines, and developing frameworks and tools for global-scale, data-intensive systems. You will collaborate with cross-functional teams, perform data analysis, and provide insights to drive data-driven decisions, empowering users globally.

Must Have

• Create a data platform incorporating modern data processing and warehousing technologies.
• Build, maintain, and ideate on frameworks and tools for data ingestion, storage, processing, and serving.
• Build data pipelines to publish reports and power dashboards.
• Collaborate with multi-functional teams.
• Perform analysis and present key findings and insights to leaders.
• Support Machine Learning engineers and Data Scientists with dataset needs.
• Support Sales and Business Operations with datasets and insights.
• 8-12 years of experience in Data Engineering.
• Solid programming skills in Java or Python.
• Extensive experience with Delta Lake, Datahub, Apache Spark, Azure Databricks.
• Strong familiarity with RDBMS, Data Lake, Data Warehouse, Data Lakehouse, and Medallion Architecture.
• Knowledge of workflow orchestration tools such as Airflow or Oozie.
• Experience working with DevOps teams to drive operationally excellent infrastructure.

Good to Have

• Master's Degree in computer science or related fields.
• Awareness of the latest open-source projects and technological breakthroughs in data engineering.
• Drive innovation through research and experimentation.
• Excellent problem-solving skills.
• Ability to thrive in a collaborative, inclusive, and diverse workplace.
• Comfortable with uncertainty and adapting to changing priorities.
• Lead by example and mentor junior engineers.
• Familiarity with the latest technological landscape and turning them into effective solutions.

Perks & Benefits

• Exceptional work environment
• Growth through unique Check-In approach
• Meaningful benefits

Our Company

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!

The Opportunity

Join Adobe in the heart of Noida, where brand-new engineering meets outstanding innovation. As a Lead Data Engineer, you will play a pivotal role in crafting the future of Digital Media Analytics. This is an excellent chance to join a vibrant and driven team committed to improving a data system, data pipelines, reports, and analysis. Your work will be instrumental in delivering powerful technology that empowers users globally.

What you will do

• Create a data platform incorporating modern 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 Internal Sales Leadership and Operations teams.
• Collaborate with multi-functional teams to identify key interfaces for your projects and develop 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.
• Support Sales and Business Operations with datasets and insights
• 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.
• Mentor junior engineers on the team

What you need to succeed

• A bachelor's degree in computer science or related fields and preferably a Masters Degree in computer science or related fields.
• 8-12 years of experience in Data Engineering, consistently demonstrating the ability to build, implement, and deliver 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.
• Extensive experience and knowledge of a variety of data technologies and frameworks such as Delta Lake, Datahub, Apache Spark, Azure Databricks.
• 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.
• Collaborating 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 uncertainty and adapting to changing priorities.
• Lead by example and mentor the team through detailed code and development reviews, hosting informative sessions, and demonstrating strong technical judgment in daily tasks.
• Being ahead of the curve by familiarizing yourself with the latest and the best in the technological landscape and turning them into effective solutions for our customers.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.

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