AWS Data Technical Specialist - Glue, SQL, Python, DevOps, Snowflake

Job summary

Senior Data Engineer role focused on Quantexa Decision Intelligence Platform and data engineering.

Qualifications

• Hands-on experience with Quantexa platform / Decision Intelligence
• Strong in Apache Spark / PySpark
• Proficiency in Python / Scala
• Experience in ETL, Data Engineering, Data Warehousing
• Knowledge of entity resolution, graph analytics, link analysis
• Experience working with large datasets (Big Data ecosystem – Hive/HDFS)

Responsibilities

• Design and develop solutions using Quantexa Decision Intelligence Platform
• Build data ingestion, transformation, and ETL pipelines using Spark/PySpark
• Work on entity resolution, network analytics, and graph-based data models
• Integrate multiple structured/unstructured data sources for analytics use cases
• Ensure data quality, validation, and governance standards
• Optimize performance of large-scale data workflows
• Collaborate with business analysts and stakeholders for requirement gathering
• Support deployment, testing, and production release activities
• Work in Agile environment with sprint-based delivery

Skills

Relocation