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We are seeking a highly seasoned and exceptionally skilled Application Lead Developer with 15+ years of experience, specializing in Data. This role requires a proven track record of technical leadership, deep expertise in PL/SQL, ETL processes, IBM DataStage, and extensive experience with Enterprise Application Integration (EAP) patterns and technologies. The successful candidate will be instrumental in leading the design, development, and implementation of complex, scalable, and high-performance data solutions. This position will combine hands-on development with significant leadership responsibilities, including technical oversight, mentorship, and driving best practices within the data development team.
Job Responsibility:
Lead a team of data developers, providing technical direction, guidance, and mentorship
Drive the architectural design and technical specification for complex data solutions, including data warehousing initiatives, intricate ETL pipelines, and enterprise-wide data integration projects
Serve as the subject matter expert and hands-on developer for highly complex PL/SQL components, optimizing performance and ensuring efficient data manipulation and business logic execution within large-scale Oracle environments
Lead the design, development, and optimization of critical ETL processes using IBM DataStage
Guide the implementation of sophisticated integration solutions leveraging EAP patterns and technologies
Champion performance engineering efforts across the data platform
Collaborate closely with Data Architects on logical and physical data model designs
Establish and enforce rigorous code review processes
Act as the escalation point for complex technical issues
Interface with business stakeholders, product owners, architects, and project managers
Identify opportunities for process improvements within the development lifecycle
Keep abreast of emerging technologies and industry trends in data engineering, integration, and application development
Requirements:
Minimum of 15 years of progressive experience in application development with a strong specialization in data, including at least 5 years in a Lead Developer or similar technical leadership role
Exceptional mastery (10+ years) in designing, developing, and optimizing highly complex PL/SQL solutions for critical enterprise applications within Oracle environments
Proven expert-level proficiency (8+ years) with IBM DataStage, including extensive experience with parallel jobs, enterprise-level design patterns, performance tuning, and administration aspects
Deep expertise in data warehousing concepts, dimensional modeling, slowly changing dimensions, and implementing robust ETL strategies for data marts and data warehouses
Extensive experience (7+ years) designing and implementing sophisticated EAP solutions using various integration patterns and technologies (e.g., MQ Series, Kafka, RESTful APIs, SOAP, event streaming platforms)
Expert-level knowledge of Oracle Database (versions 11g, 12c, 19c or higher), including advanced SQL, database architecture, partitioning, indexing, and performance monitoring tools
Demonstrated expertise in end-to-end performance analysis and optimization across the data stack (database, SQL, PL/SQL, ETL, integration layers)
Strong track record in designing, building, and deploying highly scalable, available, and fault-tolerant enterprise data solutions
Proven ability to lead, mentor, and inspire development teams, fostering a collaborative and high-performing environment
Superior analytical, diagnostic, and problem-solving skills with a keen eye for detail and complex system interactions
Excellent verbal and written communication skills, with the ability to articulate complex technical concepts, influence stakeholders, and present solutions clearly to both technical and non-technical audiences
Nice to have:
Bachelor's or Master's degree in Computer Science, Information Systems, or a related quantitative field
Certifications in Oracle, IBM DataStage, or relevant integration technologies
Experience with other major ETL tools (e.g., Informatica PowerCenter, Abinitio)
Experience with cloud-based data platforms and services (e.g., AWS Redshift/Glue, Azure Data Factory/Synapse, Google BigQuery/Cloud Dataflow)
Proficiency in scripting languages (e.g., Python, Shell scripting) for automation and utility development
Strong understanding of CI/CD pipelines, DevOps practices, and automated testing for data solutions
Experience in an Agile/Scrum development environment
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