Senior Associate - Generative AI and Data Analytics

Responsibilities:

• Design, build, and maintain data integration and ETL pipelines using SnapLogic • Develop and optimize complex SQL queries to support business analytics and reporting • Work with structured and unstructured data in large-scale data warehouse environments • Leverage Databricks for advanced data processing, transformation, and analytics • Collaborate with data analysts, data scientists, and business stakeholders to gather and understand data requirements • Ensure data quality, integrity, and governance across platforms • Create clear documentation for data workflows, architecture, and processes • Participate in code reviews and promote best practices in data engineering

SAC JD: • Solution Design & Development: o Design, develop, and implement SAP SAC solutions. o Create data models, stories, and dashboards in SAC. o Develop custom SAC applications using scripting and advanced analytics features. • Data Integration & Management: o Integrate SAC with various data sources including SAP HANA, BW, S/4HANA, and other external sources. o Ensure data accuracy, consistency, and quality in SAC solutions.

• Stakeholder Collaboration: o Work closely with business stakeholders to gather requirements and translate them into technical specifications. o Collaborate with cross-functional teams to deliver end-to-end analytics solutions. • Performance Optimization: o Optimize SAC solutions for performance and scalability. o Troubleshoot and resolve issues related to SAC solutions. • Documentation & Training

o Document SAC solutions, including data models, design specifications, and user manuals. o Provide training and support to end-users and other team members. • Proficiency in SAP SAC, including data modeling, story creation, and dashboard development. • Strong understanding of SAC data connectivity options and integration with various data sources. • Experience with SAP HANA, SAP BW, and S/4HANA. • Proficient in SAC scripting and advanced analytics capabilities. • Solid understanding of data visualization principles and best practices.

Mandatory skill sets: • Gen AI,LLM, Huggingface, python,pytorch/tensor flow/keras, Langchain, Langgraph, Docker, Kunernetes

Required Qualifications: • 5+ years of experience with SnapLogic in enterprise-level data integration projects • 6+ years of experience with ETL pipeline development and data warehousing • Strong proficiency in SQL (performance tuning, complex joins, stored procedures, etc.) • 3+ years of hands-on experience with Databricks (Spark, Delta Lake, etc.) • Solid understanding of cloud data ecosystems and data modeling principles • Excellent problem-solving and communication skills

Preferred skill sets: • Gen AI,LLM, Huggingface, python,pytorch/tensor flow/keras, Langchain, Langgraph, Docker, Kunernetes

• Experience with Python for scripting or data processing tasks • Familiarity with CI/CD practices • Knowledge of data governance, privacy, and compliance best practices

Years of experience required: 5-8 years

Education qualification: B.Tech/MCA/BCA/M.tech