Fabric Analytics Platform Engineer For Data Lakes-Hybrid
Summary
Hybrid data platform engineer at a risk management firm, building and supporting data lakes and analytics on AWS (EMR, S3, Redshift, Glue, Airflow). Day to day: ETL with SSIS, work across Netezza/SQL Server/PostgreSQL/Teradata, Hadoop-to-AWS migrations, query tuning, Linux, and production data platform support.
Strong experience in AWS Cloud services:
EMR, EC2, S3, VPC, RDS, Redshift
AWS Glue, IAM, CloudWatch, CloudFormation Airflow (or AWS Managed Workflows) Databases
Experience working with:Netezza is mandatory
SQL-based systems: SQL Server and PostgreSQL Data warehouses: Teradata, Redshift, Netezza ETL Tools
Hands-on experience with:SSIS
Programming & Scripting
Strong proficiency in:SQL
Shell scripting
Good to have:
Python
Operating Systems
Strong experience in Unix/Linux environments
Key Qualifications10+ years of experience in Data Engineering / Big Data / Platform
Hands-on experience in AWS and Hadoop ecosystems Experience in data migration projects (e.G., Hadoop to AWS, DB migrations) Strong understanding of data warehousing concepts and ETL design patterns Expertise in query optimization and performance tuning Experience supporting production data platforms Bachelor’s degree in Computer Science, Engineering, or related field
Preferred QualificationsExperience in Banking / Financial Services domain Experience with data lake architecture and governance Knowledge of DevOps tools and CI/CD pipelines Experience in platform engineering and framework development.