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WhiteBlue11 open roles

Data Engineer

Chennai, India · Hybrid · Full-time

  • Posted 3d ago
  • From WhiteBlue’s careers page
Location
Chennai, India
Work mode
Hybrid
Type
Full-time
Level
Lead
Experience
8+ years
Department
Data and Analytics
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About the role

Required Skills:

  • Experience in Data Engineering, Analytics Engineering, Data Platforms, or related data & AI roles.
  • Strong proficiency in Python for data engineering, automation, API integration, data transformation, and AI/ML solution development.
  • Hands-on experience with modern Cloud Data Platforms such as Snowflake, Azure Data Factory (ADF), Microsoft Fabric, Advanced Analytics, Tableau or equivalent technologies.
  • Expertise in designing and building scalable data pipelines to ingest, process, and manage structured, semi-structured, and unstructured data from files, APIs, databases, and cloud sources.
  • Advanced SQL skills and experience working with relational databases such as SQL Server and cloudnative data warehouses.
  • Experience leveraging Generative AI, Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), Vector Databases, and AI-powered analytics solutions in enterprise environments.
  • Proficiency in data visualization and analytics tools such as Power BI, Tableau, Python visualization libraries, and self-service analytics platforms.
  • Experience implementing data quality frameworks, data observability, metadata management, data governance standards, and technical data catalogs/dictionaries.
  • Familiarity with Machine Learning lifecycle concepts (MLOps) including model deployment, monitoring, prompt engineering, and responsible AI practices.
  • Experience with DevOps, CI/CD, Infrastructure as Code (IaC), Git-based development workflows, and Agile/Scrum methodologies.
  • Proficiency with collaboration and project management tools including Jira, Confluence, SharePoint, GitHub/GitLab, and Azure DevOps.
  • Strong analytical thinking and innovative problem-solving skills with the ability to leverage AI-assisted development tools to accelerate delivery and improve productivity.
  • Proven ability to rapidly learn and adopt emerging technologies in the evolving Data, Analytics, and AI landscape.
  • Demonstrates a Team-First mindset, fostering collaboration and contributing to the maturity of enterprise Data, Analytics, and AI platforms.
  • Experience in Financial Services, Banking, Credit Union, FinTech, or related regulated industries is preferred.
  • Knowledge of data security, privacy, compliance, and Responsible AI governance within regulated environments is highly desirable.

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WhiteBlue

About WhiteBlue

AI-enabled enterprise growth and modernization

WhiteBlue provides consulting and technology services that help enterprises modernize infrastructure, APIs, and data for generative AI and automation.

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