Western Digital Principal Engineer, Data Analytics Engineering (Data Engineering , GenAI , Python , SQL) \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Principal Engineer, Data Analytics Engineering (Data Engineering , GenAI , Python , SQL) Full-time Job Type (exemption status): Exempt position - Please see related compensation & benefits details below Business Function: Data Analytics Engineering Work Location: Bangalore Hallmark Office (IBS)--LOC\\_WDT\\_IBS Company Description The future. Its on you. You & Western Digital. Weve been storing the worlds data for more than 50 years. Once, it was the most important thing we could do for data. Now were helping the world capture, preserve, access and transform data in a way only we can. The most game-changing companies, consumers, professionals, and governments come to us for the technologies and solutions they need to capture, preserve, access, and transform their data. But we cant do it alone. Todays exceptional data challenges require your exceptional skills. Its You & Us. Together, were the next big thing in data. Western Digital® data-centric solutions are found under the G-Technology, HGST, SanDisk®, Tegile, Upthere, and WD® brands. Job Description Position: Principal AI Engineer (Data Engineering & GenAI) We are seeking a Principal AI Engineer with deep expertise in data engineering, Generative AI (GenAI), and AWS cloud platforms to architect and lead scalable AI-driven solutions that address complex business and technology challenges. Key Responsibilities AI Platform Architecture: Design and implement scalable AI/ML and GenAI solutions on AWS using modern data engineering frameworks and best practices. Data Engineering Leadership: Drive the development of robust data pipelines, ETL/ELT frameworks, and data models that support AI/ML and analytics use cases at scale. Generative AI Solutions: Lead the exploration, prototyping, and deployment of GenAI applications (LLM-based copilots, RAG pipelines, autonomous agents) across enterprise scenarios. Technology Strategy: Evaluate and adopt emerging technologies to strengthen AI and data engineering efficiency and capabilities. Cloud & Infrastructure: Define and implement cloud-native architectures using AWS services (S3, Glue, Redshift, EMR, Lambda, SageMaker, Bedrock, EKS). Collaboration & Influence: Partner with data scientists, product managers, and business stakeholders to translate business needs into scalable technical solutions. Best Practices & Governance: Establish coding standards, DevOps/MLOps practices, and enforce data governance and security controls for AI workloads. Mentorship & Leadership: Guide and mentor engineers and data professionals, fostering innovation, technical excellence, and best practices. Qualifications Basic Qualifications Bachelors or Masters degree in Computer Science, Data Engineering, AI/ML, or related field. Advance experience in data engineering, AI/ML systems, and cloud computing. Proven expertise with AWS cloud ecosystem (S3, Glue, Redshift, EMR, Lambda, SageMaker, Bedrock) and Databricks. Hands-on experience with Generative AI models (LLMs, diffusion models), frameworks (LangChain, Hugging Face, OpenAI/Anthropic APIs), and RAG implementations. Strong programming skills in Python, SQL, and at least one compiled language ( Java, Scala, or Go). Experience with modern data engineering tools and pipelines (Airflow, Spark, Kafka, dbt, Snowflake). Excellent problem-solving skills with experience in architecture design and stakeholder communication. Preferred Qualifications Experience with vector and graph databases (e.g., Pinecone, Weaviate, pgvector, Neo4j). Working knowledge of MCP (Model Context Protocol) for orchestrating and managing AI agent workflows. Familiarity with containerization and orchestration (Docker, Kubernetes, EKS) Knowledge of MLOps/LLMOps practices and CI/CD pipelines for AI workloads (e.g., MLflow, Kubeflow, LangSmith). Strong understanding of data security, compliance, and governance in cloud and AI systems. Additional Information Because Western Digital thrives on the power of diversity and is committed to an inclusive environment where every individual can thrive through a sense of belonging, respect, and contribution, we are committed to giving every qualified applicant and employee an equal opportunity.  Western Digital does not discriminate against any applicant or employee based on their protected class status and complies with all federal and state laws against discrimination, harassment, and retaliation, as well as the laws and regulations set forth in the Equal Employment Opportunity is the Law poster. WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at  to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email . I'm interested I'm interestedPrivacy NoticeCookies Settings I'm interested Refer a friend Posted by Ashok G share this job Share on LinkedIn%20&mini=true&source=SmartRecruiters&summary=Western%20Digital%20is%20looking%20for%3A%20Principal%20Engineer%2C%20Data%20Analytics%20Engineering%20(Data%20Engineering%20%2C%20GenAI%20%2C%20Python%20%2C%20SQL)%20%20in%20Bengaluru%2C%20India.%20https%3A%2F%2Fjobs.smartrecruiters.com%2FWesternDigital%2F744000111333625-principal-engineer-data-analytics-engineering-data-engineering-genai-python-sql-%3Ftrid%3D463ac537-35c8-4256-8fe4-47ea285de0a6&url=https%3A%2F%2Fjobs.smartrecruiters.com%2FWesternDigital%2F744000111333625-principal-engineer-data-analytics-engineering-data-engineering-genai-python-sql-%3Ftrid%3D463ac537-35c8-4256-8fe4-47ea285de0a6 Share on LinkedIn) Share on Facebook Share on Twitter%20.&via=SmartRecruiters&url=https%3A%2F%2Fjobs.smartrecruiters.com%2FWesternDigital%2F744000111333625-principal-engineer-data-analytics-engineering-data-engineering-genai-python-sql-%3Ftrid%3D33221b55-7baa-4189-992e-a7fac0c08950 Share on Twitter) Share via email%20&body=Western%20Digital%20is%20looking%20for%3A%20Principal%20Engineer%2C%20Data%20Analytics%20Engineering%20(Data%20Engineering%20%2C%20GenAI%20%2C%20Python%20%2C%20SQL)%20%20in%20Bengaluru%2C%20India.%20https%3A%2F%2Fjobs.smartrecruiters.com%2FWesternDigital%2F744000111333625-principal-engineer-data-analytics-engineering-data-engineering-genai-python-sql- Share via email) Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. Principal Engineer, Data Analytics Engineering (Data Engineering , GenAI , Python , SQL) Bengaluru, India Full-time I'm interested I'm interested

The role requires a Bachelor's or Master's degree in Computer Science, Data Engineering, AI/ML, or a related field. Advanced experience in data engineering, AI/ML systems, and cloud computing is necessary. Proven expertise with the AWS cloud ecosystem, including services like S3, Glue, Redshift, EMR, Lambda, SageMaker, and Bedrock, along with Databricks, is essential. Hands-on experience with Generative AI models, frameworks such as LangChain and Hugging Face, and RAG implementations is required. Strong programming skills in Python and SQL, along with at least one compiled language like Java, Scala, or Go, are also necessary. Experience with modern data engineering tools and pipelines such as Airflow, Spark, Kafka, dbt, and Snowflake is expected.