Senior Data Engineer

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data.

Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team.

In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud.

You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization.

Requirements

Key Responsibilities: Design, develop, and deploy end-to-end data pipelines on AWS using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, and related data platform technologies. Build and maintain scalable data processing and transformation workflows using Databricks, Apache Spark, and SQL.

Develop and maintain Apache Airflow workflows for pipeline orchestration, scheduling, dependency management, monitoring, and automation. Integrate and process commercial pharmaceutical data sources such as Xponent, Veeva, MMIT, Plantrak, Specialty Pharmacy, LAAD, and similar sources.

Build and optimize data pipelines supporting pharma KPIs, metrics, analytics, and reporting requirements. Design and implement data pipelines for AI/ML and Generative AI workloads, including structured and unstructured data preparation.

Enable data pipelines supporting LLM-based applications, vector embeddings, and knowledge retrieval/RAG solutions. Support migration of legacy data systems and pipelines to modern AWS cloud and lakehouse architectures. Monitor, troubleshoo