Job description

Role: Data Engineer & AI Specialist (20580-1) Location: Austin, TX (Hybrid)- Local Preferred Duration: 12+ Months Must have: Data Engineering, AI Specialist, AI/ML, python, R, spark, SQL, PL/SQL, Unix, Teradata, Greenplum, Oracle, Azure Data Lake, Informatica, NumPy, Pandas, Role: Data Engineering & AI Specialist We are seeking an experienced Data Engineering and AI Data Science professional with deep expertise across the full data stack, and cutting-edge Agentic AI systems. Requirements: • 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), Stream Sets, 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 Stream Sets 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 • 3+ years experience • Proven record on capabilities related Global enterprise applications Shivam Kumar Technical recruiter | Empower Professionals ......................................................................................................................................

Requirements