Data Engineer

Position Summary

A data scientist cum data engineer with 5+ years of experience with a deep understanding of data analysis, Big Data & Cloud technologies, AI & machine learning, GenAI and NLP techniques. You will be responsible for developing & building low level design as per approved Tech specs, extracting valuable insights from large datasets, building advanced AIML models and driving data-driven decision-making within the organization or for the enterprise customers. This role involves a combination of data analysis, model development, and strategic thinking to solve complex business problems. You will interact with key stakeholders and apply your technical proficiency in AIML, Python, R and algorithms. You will work across different stages of the development project using data science & technologies to provide solutions and interface directly with enterprise customers for the Adobe Experience Platform.

What you'll do

• Interface with Adobe customers to gather requirements, map solutions & make recommendations. Document projects with clear business objectives, provides data gathering & data preparation, final algorithm, detailed set of results
• Experience in Natural Language Processing, GenAI and Image processing
• Support the execution of Data Science solutions to business problems
• Innovate on new ideas to solve customer needs & assist to create GTM strategies for new solutions
• Experience in AIML modeling like propensity models, clusterings, regression, etc.
• Developing ETL pipelines involving big data.
• Developing data processinganalytics applications primarily using PySpark.
• Experience of developing applications on cloud(AWS/Azure/GCP) mostly using services related to storage, compute, ETL, DWH, Analytics and streaming.
• Clear understanding and ability to implement distributed storage, processing and scalable applications.
• Experience in working with SQL and NoSQL database.
• Ability to write and analyze SQL, HQL and other query languages for NoSQL databases.
• Proficiency in writing disitributed & scalable data processing code using PySpark, Python and related libraries.
• Experience in developing applications that consume the services exposed as ReST APIs.
• Understand and clean datasets, interpret outputs and make them comprehensible to understand for other teams.
• Strong collaboration with consultants onshore & offshore
• Create reusable statistical models & modify existing algorithms
• Report on customer trends and deployment performance and identify areas that we can use target using ML/Data science solutions.

Requirements

• 2+ years of experience & knowledge with Web Analytics or Digital Marketing.
• 5+ years of experience in

  AIML role

  , with a focus on building data pipelines for conducting data intensive analysis
• 5+ years of experience with

  Machine Learning

  and alogrithims for classification, clustering, prediction, recommendations and NLP
• 5+ years of experience with common

  Data Science Toolkits

  (i.e. R, Jupyter Notebooks, PySpark etc.)
• 5+ years of enterprise development using

  Python

• Strong understanding of

  GenAI and LLM

• Ability to enhance

  Standard Algorithms

  is required
• Knowledge & experience using

  Amazon Sagemaker

  ,

  Microsoft Azure ML

  or

  Google AI

  technologies
• 5+ years of complex

  SQL

  experience
• 5+ years of

  Data Modeling

  experience
• Demonstrate exceptional organizational skills and ability to multi-task simultaneous different customer projects
• Strong verbal & written communication skills to lead customers to a successful outcome and explain complex technical concepts to non-technical stakeholders.
• Excellent problem-solving and critical-thinking skills.
• Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud)
• Must be self-managed, proactive and customer focused
• Degree in Computer Science, Information Systems or related field
• Should be able to work in teams

Special Consideration given for

• Experience & knowledge with Adobe Experience Cloud solutions
• Experience & knowledge with

  Web Analytics

  or

  Digital Marketing