Land a career in Adobe with these top big data/data science jobs.
Many businesses encountered turbulence in 2020, yet big data/data science saw substantial demand and growth.
Data science professionals are in high demand all across the world. These job opportunities will continue to grow after 2021, with over 1.5 lakh more positions being added. This is a natural reaction to data's importance as a resource for businesses in the digital age. We've compiled a list of the top 10 Big Data/Data Science job openings in Adobe to watch out for this month.
- 5+ years in the design and development of large-scale data-driven systems.
- Work experience with one or more big data technologies such as Apache Spark.
- Work experience with one or more NoSQL storage systems such as Aerospike, HBase, Cassandra.
- Contribution to open source is desirable.
- Great problem solving, coding (in Java/Scala, etc.), and system design skills.
Location: Noida, Uttar Pradesh
- Perform exploratory data analysis quickly, generate and test working hypotheses, and discover new trends and relationships.
- Using advanced statistical and mathematical methods, analyze and model structured data and implement algorithms to support analysis, and provide solutions to real-world business problems.
- To mine unstructured data, use advanced analytics techniques.
- Reports and presentations can be used to communicate results and educate others.
Location: Bengaluru, Karnataka
- Develop distributed data processing pipelines using Apache Spark. Build and maintain pipelines as needed to power critical business metrics to measure the performance of pages on the website.
- Responsible for crafting, developing sophisticated data applications/pipelines on large-scale data platforms using Apache Spark, Hadoop, Python/Scala.
Computer Scientist – Python
Location: Bengaluru, Karnataka
- Developing Java backend services that would make use of and add value to Adobe's own data platform.
- Building the company's tracking services in a cookie-less world.
Web & Data Science Analyst
Location: Noida, Uttar Pradesh
- Selecting features, building and optimizing classifiers using machine learning techniques.
- Data mining using state-of-the-art methods.
- Doing ad-hoc analysis and communicating results in a clear manner.
- Crafting automated anomaly detection systems and constant tracking of its performance.
- Build high-performance and resilient micro-services for event and data processing at scale.
- Design new features and create functional specifications by working with product management and engineering team members.
- Develop software solutions by understanding the company's customer's requirements, data flows, and integration architectures.
Data Scientist/Senior Product Analyst, Experimentation
- You will work with data engineers to design and automate data pipelines to scale experimentation and user analytics.
- In collaboration with a multi-functional team of product management, marketing, and engineering, you will tap into the underlying data, align on metrics/methodologies and generate insights to develop valuable, highly effective programs.
Web Analyst & Data Science
- Responsible for providing Analytical Insights & Intelligence support aligned towards business or project or initiative.
- Drive partnership with US Web Analytics team, Go-To-Market teams, eCommerce teams, Adobe.com Product Managers team, etc., and be the Subject Matter Expert for aligned areas.
Adobe Analytics – Big Data Software Developer
- Transform the business requirements into feature specifications.
- Contribute to the design and implementation of new features.
- Design and implement new features, APIs, unit and integration test suites.
- Be involved in all the product development and delivery stages, as part of a unified engineering team.
- Design, develop & tune data products, applications, and integrations on large-scale data platforms (Hadoop, Snowflake, Alteryx, SSIS, Kafka Streaming, Hana, SQL server) with an emphasis on performance, reliability, and scalability, and most of all quality.
- Analyze the business needs, profile large data sets and build custom data models and applications to drive the Adobe business decision making and customers experience.
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