Job Title: Sr. BIG DATA Engineer
Work Location: Irving TX
Job Type: Fulltime
MOI: Mandatory In person Interview

Role Overview
We are seeking a highly skilled and motivated AWS Certified Engineer to design build and optimize scalable data solutions within the Amazon Web Services AWS ecosystem The ideal candidate will have strong expertise in big data processing using PySpark and a deep understanding of data warehousing concepts including Hive and modern table formats like Iceberg This role involves developing deploying and managing robust efficient and secure data pipelines and analytics solutions on AWS leveraging core networking and compute services

Core Responsibilities
AWS Solution Design Implementation Design develop and deploy scalable and cost-effective data solutions on AWS leveraging services such as S3 for data lakes EC2 EMR Glue Athena Lambda Redshift and Kinesis
Data Pipeline Development Build and maintain robust ETLELT data pipelines using PySpark for data ingestion transformation and loading into various data stores including those utilizing open table formats like Iceberg
Big Data Processing Develop and optimize big data processing jobs using PySpark on AWS EMR or AWS Glue handling large datasets efficiently and integrating with Iceberg table formats
Data Warehousing Design implement and manage data warehousing solutions including schema design data modeling and query optimization with a focus on Hive and modern data lake table formats like Iceberg for historical data and analytical queries
Cloud Infrastructure Networking Implement secure and robust cloud infrastructure components including VPCs subnets routing and security groups to ensure proper connectivity and isolation for data solutions
Containerized Workloads Design deploy and manage containerized data processing applications on Amazon Elastic Kubernetes Service EKS Performance Tuning Optimization Optimize AWS resources and big data applications Spark Hive Iceberg for performance cost and efficiency
Data Governance Security Implement best practices for data security access control and compliance within AWS including IAM policies S3 bucket policies and encryption
Monitoring Troubleshooting Set up monitoring and logging for data pipelines and AWS infrastructure troubleshoot and resolve issues promptly
Automation Develop and maintain automation scripts using Python and shell scripting for infrastructure provisioning deployment and operational tasks
Collaboration Work closely with data scientists' analysts and other engineering teams to understand data requirements and deliver reliable data solutions
Any of below certification is plus
AWS Certified Solutions Architect Associate
AWS Certified Data Analytics Specialty
AWS Certified Developer Associate

AWS Big Data Engineer

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