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Urgent! Senior Python Data Engineer Job Opening In Hyderabad – Now Hiring Delphie Consulting services

Senior Python Data Engineer



Job description

<p><p><b>Role Overview :</b><br/><br/>We are seeking a Senior Python Data Engineer (SE4) who can take ownership of data platform design, architecture, and AI integration strategies.<br/><br/>This role goes beyond hands-on engineeringit requires leading projects, mentoring engineers, and shaping scalable data + AI ecosystems.<br/><br/>You will drive the integration of LLMs into enterprise-grade data pipelines, orchestrate large-scale data processing solutions, and ensure enterprise data governance while working with cross-functional Responsibilities :</b></p><p><br/>- Lead the design and implementation of enterprise-grade distributed data platforms using PySpark and SparkSQL.<br/><br/>- Architect and optimize scalable ETL/ELT pipelines across batch and streaming environments.<br/><br/>- Drive LLM-powered solution design using LangChain, including Agents, Toolkits, Document Loaders, and SparkSQLToolkit.<br/><br/>- Integrate vector databases and design RAG pipelines for NLP and generative AI applications.<br/><br/>- Define standards for data governance, security, lineage, and compliance across cloud platforms.<br/><br/>- Collaborate with architects, data scientists, and business stakeholders to translate business needs into technical solutions.<br/><br/>- Mentor SE2/SE3 engineers, providing technical leadership and code reviews.<br/><br/>- Own performance, scalability, and cost optimization on Databricks, AWS EMR, and MLflow Skills :</b></p><p><br/>- Strong programming expertise in Python with advanced knowledge of data engineering design patterns.<br/><br/>- Deep experience with PySpark, SparkSQL, and distributed data processing.<br/><br/>- Hands-on experience in architecting and deploying data solutions on Databricks, AWS EMR, or Azure Data platforms.<br/><br/>- Strong understanding of LangChain and LLM integration frameworks.<br/><br/>- Expertise in SQL, advanced data modeling, and distributed databases.<br/><br/>- Proven ability to lead teams, own projects, and deliver end-to-end Skills :</b></p><p><br/>- Experience with Google ADK Prompt Engineering and advanced LLM fine-tuning.<br/><br/>- Familiarity with multi-cloud ecosystems (AWS, Azure, GCP).<br/><br/>- Knowledge of MLOps practices, MLflow, Unity Catalog, and feature stores.<br/><br/>- Exposure to data security, compliance frameworks, and metadata management</p><br/></p> (ref:hirist.tech)


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