[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 a Legacy Batch Modernization and reputed company Data Ingestion platform enhancement initiatives. The role focuses on modernizing legacy batch processing workloads and enhancing reputed company-based data ingestion capabilities while ensuring 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 reputed company 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 reputed company 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 reputed company 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 reputed company 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

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