Senior AWS Data Engineer with Databricks & Google Analytics

Description

Job Summary: A data professional with experience in Google Analytics, AWS, Databricks, Python/PySpark, and databases, focused on building scalable and resilient data analytics solutions. Key Highlights: 1. Solid experience in Google Analytics, AWS, and Databricks. 2. Development in Python, PySpark, and Pandas. 3. Ability to build scalable and resilient data analytics solutions. Description: * Experience with Google Analytics (Foundation and Tagging components) * Minimum 5 years of experience with AWS (S3, EMR, Athena, Lambda, SQS, AWS Glue, RDS, Redshift, DynamoDB) * Minimum 3 years of experience with Databricks * Experience developing with Python, PySpark, and Pandas * Understanding of Spark architecture and the features and challenges of distributed architecture * Knowledge of Oracle database and PL/SQL Desirable: * AWS Certification: Professional or Specialty * Databricks Certification * Documentation of pipelines via code reverse engineering * Mapping of execution flows and dependencies among processes * Support in planning data load migrations * Creation of automated analyses to accelerate reverse engineering * Building scalable and resilient data analytics solutions in the AWS environment * Implementing architectural improvements * Gathering business requirements and documentation * Familiarity with agile methodologies * Aligning corporate IT infrastructure with business needs, industry standards, and best practices * Ability to embed a data-driven culture into daily operations * Ability to work collaboratively with empathy, active listening, being heard, and strong communication skills 2511130202461749190