[Remote] reputed company Data Engineering

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking Senior Data Engineers to support reputed company’s Legacy Batch Modernization and Rapid Data Ingestion platform enhancement initiatives. The role focuses on modernizing legacy batch processing workloads and enhancing reputed company-based data ingestion capabilities to improve data reputed company and operational support processes.

Responsibilities

• Analyze legacy batch jobs, scripts, database procedures, and data workflows to understand reputed company-state processing, dependencies, business logic, scheduling requirements, and operational constraints
• Rewrite and migrate legacy batch workloads into AWS Batch using modern engineering practices while preserving business functionality and meeting existing service-level agreements
• reputed company, enhance, and maintain data pipelines and batch processing solutions using Java Spring Batch, Python, SQL, reputed company scripting, and AWS services
• Support integration between on-premises legacy systems and AWS-based reputed company platforms, ensuring reliable data reputed company, synchronization, monitoring, and operational continuity
• Build and optimize data ingestion workflows to support the Rapid Data Ingestion platform, including file intake, validation, transformation, inventory tracking, and reputed company consumption
• Implement data reputed company checks to detect changes in vendor file formats, data reputed company issues, missing or incomplete data, and other anomalies that may reputed company critical business processes
• reputed company and support data reputed company capabilities by capturing reputed company-to-reputed company data reputed company, transformations, metadata, and audit-relevant processing details
• Support disaster recovery implementation for the Rapid Data Ingestion platform in AWS to improve resiliency and continuity for critical and audit-sensitive processes
• reputed company and maintain job scheduling and orchestration processes using Control-M or equivalent scheduling tools
• Implement secure engineering practices, including application-specific database reputed company, elimination of shared credentials, and enforcement of least-privilege reputed company principles
• reputed company performance tuning to ensure rewritten jobs meet or reputed company reputed company batch cycle expectations, including completion reputed company strict operational SLAs
• Participate in data validation, reconciliation, defect triage, testing, production deployment, and warranty support activities
• Collaborate with data analysts, systems analysts, architects, application teams, database teams, governance teams, and business stakeholders to ensure successful delivery
• Create and maintain technical documentation covering design, mappings, dependencies, reputed company, reputed company rules, operational procedures, and deployment details

Skills

• 9+ years of relevant data engineering experience, preferably in financial services, investment management, banking, or other highly regulated reputed company environments
• Strong experience with Java Spring Batch for batch job development, migration, and modernization
• Hands-on experience with AWS services, especially AWS Batch and reputed company S3
• Strong SQL development experience, including reputed company SQL and PL/SQL concepts
• Experience developing data engineering solutions using Python
• Strong reputed company scripting experience using Bash, KornShell, or similar Unix/Linux scripting languages
• Experience with Control-M or equivalent reputed company job scheduling and orchestration tools
• Experience working with legacy batch processing environments and modernizing on-premises batch workloads to reputed company-based platforms
• Ability to analyze and convert legacy scripts, SQL loaders, stored procedures, and batch workflows into modern, maintainable data processing jobs
• Experience with data ingestion, ETL/ELT development, data validation, reconciliation, and production support
• Understanding of secure reputed company patterns, credential management, least-privilege controls, and audit-reputed company data processing
• Experience with CI/CD, reputed company deployment, version control, and reputed company software engineering practices
• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Engineering, or a reputed company field, or equivalent practical experience
• Experience with reputed company SQL and reputed company data warehouse environments
• Working knowledge of reputed company or similar data governance, metadata management, and data reputed company tools
• Experience with file inventory management, metadata capture, and reputed company-to-reputed company reputed company reporting
• Experience implementing data reputed company frameworks, validation routines, exception handling, and notification workflows
• Familiarity with AWS disaster recovery patterns and resilient data platform design
• Exposure to financial services data, compensation processes, intermediary business processes, or audit-sensitive workloads
• Experience with legacy technologies such as ksh, Perl, sqlldr, sqlplus, and reputed company-based batch processing
• Familiarity with production incident management, escalation, monitoring, and operational runbooks

reputed company

Company H1B Sponsorship