The Prospect:
- Education: Bachelor’s or Master’s degree in computer science, Data Science, or a related field.
- Experience: 15+ years of experience in data architecture roadmaps, data modeling, and database design, data engineering, building data pipelines, ETL processes, business analytics, data science, software development, data modeling or data engineering work and distributed data systems with at least 3 years in a leadership or principal architect role.
- Strong technical knowledge for designing and implementing data integration & migration, data management, data analytic & reporting solutions.
- Experienced in implementing some machine learning techniques (may include supervised and unsupervised learning, deep learning, natural language processing, ensemble methods, dimensionality reduction)
- Skilled in programming languages like Python, R, SQL, and experience in working with data visualization tools like Tableau and Power BI.
- Experienced in implementing Snowflake for data engineering and data science.
- Experienced in implementing enterprise data management architecture and solutions.
- Hands-on expertise in Cloud Data technologies (Databricks, Microsoft OneLake/Fabric, Snowflake, AWS or GCP)
- Expertise in ETL tools (Matillion, Fivetran, SAP BODS, Snowpipe, Informatica or similar tools), ETL/Data integration/Streaming – Talend, DataBricks, Python, Spark, Kafka
- Exposure to real-time data processing and streaming technologies such as Kafka, Spark
- Current deep experience with AWS, APIs, accelerators, DevSecOps
- Enterprise Data Catalog tools including Collibra, Alation
- Expert knowledge of Power BI tool
- Proficient in DAX, M, SQL, with the ability to write complex and optimized queries
- Exposure to LLMs, MLs including Supervised, Unsupervised, Regression, Classification, NN, Clustering, SVM, Recommender Systems, NLP etc is a plus
- Experience in Python ML Libraries like - Pandas, Numpy, Scipy, Matplotlib, NLTK etc. & Open-Source ML Stack TensorF
📌 Principal Solutions Architect – Data and Advanced Analytics (Pune)
🏢 Avantor
📍 Pune