Platform Engineer

We are seeking a highly skilled Senior Platform Engineer with extensive experience in Big Data technologies, AWS Cloud, and data platform engineering . The ideal candidate will have strong expertise in designing, developing, and supporting scalable data pipelines and distributed systems, along with hands‑on experience in Big Data ecosystem tools, AWS services, and real‑time data processing . This role involves working on data platform modernization, cloud migrations, Data Warehousing and ETL in a fast‑paced enterprise environment.

Key Responsibilities Design, develop, maintain, and support scalable data pipelines using Big Data and AWS technologies Lead and support data platform migration initiatives (On-Prem to AWS Cloud) Develop and manage ETL/ELT processes using tools like SSIS, Pentaho, or similar Implement and manage AWS services such as EMR, S3, EC2, Redshift, Glue, and Airflow Build and optimize data workflows and orchestration pipelines using Airflow Work with real-time streaming technologies such as Kafka and Spark Streaming Perform data ingestion, transformation, and validation from multiple data sources Optimize SQL queries for performance and scalability Monitor system performance, troubleshoot issues, and ensure system reliability Collaborate with cross‑functional teams including developers, architects, and infrastructure teams Required Technical Skills Strong experience in AWS Cloud services : EMR, EC2, S3, VPC, RDS, Redshift Airflow (or AWS Managed Workflows) Databases Experience working with: 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 Qualifications 10+ years of experience in Data Engineering / Big Data / Platform Engineering 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 Bachelor’s degree in Computer Science, Engineering, or related field. Preferred Qualifications Experience with data lake architecture and governance Knowledge of DevOps tools and CI/CD pipelines Experience in platform engineering and framework development.

Nice to Have Experience with tools like Ansible, Git, JIRA Exposure to NoSQL databases (HBase, MongoDB) Experience in data masking and security frameworks. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. https://www.e-verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf #J-18808-Ljbffr