AI Data Specialist, CHENNAI, Tamil Nadu, India

Job Summary

The AI Data Specialist role focuses on designing and optimizing secure data platforms using Azure Databricks and related services to support advanced analytics and AI driven insights for global stakeholders. The specialist will configure and manage Databricks Unity Catalog workflows Delta Lake and Databricks SQL to ensure reliable data pipelines and governed data access. The role demands strong hands on engineering expertise excellent collaboration with cross functional data teams and a co

Responsibilities

Design and optimize scalable data engineering solutions on Azure Databricks that enable advanced analytics and AI workloads for enterprise stakeholders and downstream applications

Configure and administer Databricks Unity Catalog to establish centralized governance robust access controls and consistent data security policies across all workspaces and environments

Develop automate and monitor Databricks Workflows that orchestrate complex data pipelines ensuring reliable scheduling error handling and recovery for critical business processes

Implement and manage Databricks Delta Lake structures to support incremental data ingestion versioning and time travel capabilities that improve data quality and analytical flexibility

Build fine tuned Databricks SQL queries dashboards and data models that deliver actionable insights to business teams while maintaining efficient performance on large datasets

Collaborate with data scientists analysts and application teams to translate analytical requirements into well structured data solutions that accelerate experimentation and deployment

Document data models pipeline logic governance rules and operational procedures in a clear concise manner to promote transparency maintainability and knowledge sharing across teams

Apply rigorous data quality checks validation frameworks and monitoring practices to ensure that curated datasets remain accurate consistent and fit for AI and reporting use cases

Partner with cloud infrastructure and security teams to align Databricks configurations networking and identity controls with enterprise standards and regulatory expectations

Optimize cluster configuration storage layout and resource utilization in Azure Databricks to balance performance reliability and cost efficiency for production and development workloads

Contribute to continuous improvement initiatives by evaluating new Databricks features and best practices then guiding adoption that strengthens data platform capability and resilience

Support domain oriented data solutions that can incorporate life and annuities insurance concepts where relevant helping business teams better understand risk policy behavior and customer outcomes

Champion responsible and ethical use of data by promoting governance practices that protect customer information support regulatory compliance and enhance societal trust in data driven decisions

Qualifications

Demonstrate strong hands on expertise in Azure Databricks including consistent practical experience with Databricks Unity Catalog Workflows SQL and Delta Lake in complex environments

Bring solid experience in designing and operating large scale data pipelines with a minimum of nine years in data engineering or AI data specialist roles and exposure to modern cloud data stacks

Show familiarity with life and annuities insurance data structures processes and metrics as a beneficial domain skill that can deepen the impact of analytics solutions for insurance stakeholders

Exhibit advanced proficiency in structured query development performance tuning and data modeling practices that support reporting machine learning and self service analytics

Apply sound knowledge of data governance security and compliance concepts to configure Unity Catalog permissions data classification and audit readiness for enterprise usage

Demonstrate strong problem solving and debugging skills to investigate pipeline failures data anomalies and performance bottlenecks while driving sustainable corrective actions

Communicate clearly with technical and nontechnical partners providing explanations of data solutions trade offs and risks that support informed decision making and collaboration

Manage work effectively in an office based day shift model by coordinating with cross functional teams aligning priorities and ensuring consistent availability for stakeholder interactions

Certifications Required

Databricks Data Engineer Professional Certification or Azure Data Engineer Associate certification preferred

关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。

补充雇佣信息
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