Overview
Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
Skills
Data Engineering
AI Specialist
AI/ML
python
R
spark
Informatica
NumPy
Pandas
Job Details
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
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