Senior Consultant | AWS Data engineer | Hyderabad | Engineering

EducationBachelors degree in relevant field (e.g. Engineering, Analytics or Data Science, Computer Science, Statistics) or equivalent experience.ExperienceAt least 6 years of experience with big data technologies like Azure Data Lake, Synapse, PySpark, Azure Data Factory (ADF), AWS Redshift , S3, SQL Server ,MLOps or their equivalent.Experience in implementing complex ETL pipelines day-to-day operations.Experience on knowledge graphs is a plus.3+ years of experience in Agile Development and code deployment and CI-CD pipelines.2+ years of experience in job orchestration using Airflow or equivalent.2+ years in AI/ML, specially Gen AI concepts on Rag patterns, chunking techniques.Exposure on knowledge graphs is a plus.Build, Design and Deliver enterprise data programs. Proficiency in implementing data quality rules.Proficiency in analytical tools like Tableau, Power BI or equivalent.Experience with security models and development on large data sets.Experience in data quality management tools.Work closely with different stakeholders: Business owners, users, product managers, program managers, architects, engineering managers & developers, etc. to translate business needs and product requirements to well-documented engineering solutions.Ensuring data quality and consistency: Ensure data quality and consistency across various sources.Strong working knowledge on Python.Designing and contributing to best practices: Design and contribute to best practices in Enterprise Data Warehouse (EDW) architecture.Additional Desired PreferencesExperience with scientific chemistry nomenclature or prior work experience in life sciences, chemistry, or hard sciences or degree in sciencesExperience with pharmaceutical datasets and nomenclatureExperience working with knowledge graphsAbility to explain complex technical issues to a non-technical audienceSelf-directed and able to handle multiple concurrent projects and prioritize tasks independentlyAble to make tough decisions when trade-offs are required to deliver resultsStrong communication skills required: Verbal, written, and interpersonal