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Role: Data Engineering & AI Specialist We are seeking an experienced Data Engineering and AI Data Science and professional with deep expertise across the full data stack, and cutting-edge Agentic AI systems. Required Technical Expertise: Programming & Scripting Languages: • Advanced proficiency in Python, R, Spark, SQL, PL/SQL, and UNIX Shell Scripting • Strong skills in building AI/ML pipelines and agent-based architectures Data and Datawarehouse technologies • Expert-level experience with Teradata, Greenplum, Oracle 11g, SQL Server, PostgreSQL, Azure Data Lake Storage, and Snowflake • Extensive experience with Informatica PowerCenter, Informatica Intelligent Cloud Services (IICS), StreamSets, and Apache Kafka • Proven expertise in Azure Databricks for large-scale data processing and ML operations • Familiarity with Snowflake cloud data warehouse • Proficient in NumPy, Pandas, Matplotlib, GGplot, Dplyr, Scikit-learn, and Deequ for data analysis, visualization, and quality validation • Experience with deep learning frameworks (TensorFlow, PyTorch) for agent model development • Hands-on experience with Apache Airflow, Informatica Workflow Manager, Control-M, and StreamSets Data Collector • Experience orchestrating multi-step AI agent workflows and autonomous task execution • Strong command of Windows, UNIX, and Linux environments • Proficient with ServiceNow, Team Foundation Server (TFS), CI/CD pipelines, GitHub, Jira, Microsoft SharePoint, Salesforce (SFDC), Power BI, Tableau, SAP, and Qlik Sense • Experience with MLOps tools and agent monitoring platforms • Design and implementation of autonomous AI agents and multi-agent systems • Experience with LLM-based agents, reasoning frameworks, and tool-use patterns • Development of AI agents with planning, memory, and decision-making capabilities • Integration of AI agents with external tools, APIs, and data sources • Prompt engineering and chain-of-thought reasoning for complex task decomposition • Experience with retrieval-augmented generation (RAG) and vector databases • Knowledge of agent orchestration, monitoring, and evaluation frameworks • Master’s degree in data science/data engineering or similar fields • 5+ years’ experience • Proven record on capabilities related Global enterprise applications
Python,Pyspark,Etl Tools
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