Software Data Developer II

Job summary

You will design, develop, and maintain data conversion, migration, and transformation processes to ensure data accuracy across enterprise systems. Additionally, you will build automated reconciliation and validation workflows while collaborating with stakeholders to support critical business objectives.

Job details

Brightstar is an innovative, forward-thinking global leader in lottery that builds on our renowned expertise in delivering secure technology and producing reliable, comprehensive solutions for our customers. As a premier pure play global lottery company, our best-in-class lottery operations, retail and digital solutions, and award-winning lottery games enable our customers to achieve their goals, fulfill player needs and distribute meaningful benefits to communities. Brightstar has a well-established local presence and is a trusted partner to governments and regulators around the world, creating value by adhering to the highest standards of service, integrity, and responsibility. Brightstar has approximately 6,000 employees. For more information, please visit www.brightstarlottery.com. Overview We are seeking a Software Data Developer II to join our team. In this role, you will support Brightstar Lottery's data conversion, migration, and transformation initiatives by designing, developing, testing, and supporting solutions that ensure data accuracy, integrity, and successful movement between source and target systems. You will collaborate with cross-functional stakeholders to build scalable data-processing solutions, automate reconciliation activities, and deliver reliable conversion outcomes that support critical business objectives. This role will be located hybrid in Moncton, New Brunswick, Canada.Responsibilities Design and maintain data conversion, migration, and transformation processes across enterprise systems Analyze source and target data structures to define mappings, transformation rules, dependencies, and data-quality requirements Build reusable ETL/ELT workflows, scripts, stored procedures, and automated data-processing solutions Implement business and technical transformation logic while preserving data accuracy and integrity Develop automated reconciliation, balancing, and validation processes to verify conversion completeness and correctness Investigate data discrepancies, processing failures, and data-quality issues across large and complex datasets Design and develop efficient SQL queries, stored procedures, scripts, and data processing components Participate in code reviews and technical design reviews Qualifications Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field, or equivalent professional experience Strong SQL skills and experience working with relational database systems Demonstrated experience developing software applications, data-processing solutions, or conversion utilities Expertise in data conversion, ETL/ELT, data migration, or large-scale data-processing projects Proficiency with programming or scripting languages such as Python, Java, C#, PowerShell, or similar technologies Ability to analyze large datasets, troubleshoot issues systematically, and communicate effectively with technical and business stakeholders Preferred Exposure to enterprise-scale data migration or system modernization initiatives Knowledge of automated data validation, balancing, and reconciliation frameworks Understanding of relational database concepts including keys, referential integrity, joins, constraints, aggregations, and transactional data Background supporting mock conversions, test conversions, and production deployment activities Experience creating traceability controls between source, transformed, and target data Familiarity with audit-ready documentation and data-governance practices Success Profile • Leading Complexity• Leading People• Leading the Business• Leading Self #LotteryTechnology #LI-TC1 #LI-HYBRID Brightstar is committed to sustaining a workforce that reflects the diversity of the global customers and communities we serve, and to creating a fair and inclusive culture that enables all our employees to feel valued, respected and engaged. Brightstar is an equal opportunity employer. We provide equal opportunities without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, pregnancy, marital status, national origin, citizenship, covered veteran status, ancestry, age, physical or mental disability, medical condition, genetic information, or any other legally protected status in accordance with applicable local, state, federal laws or other laws. We thank all applicants for applying; however, only those selected to interview will be contacted. All Brightstar employees have a role in information security. Annual training will be assigned and required as appropriate. For more information, please visit www.brightstarlottery.com.

What you’ll do

You will design, develop, and maintain data conversion, migration, and transformation processes to ensure data accuracy across enterprise systems. Additionally, you will build automated reconciliation and validation workflows while collaborating with stakeholders to support critical business objectives.

Requirements

Candidates must hold a bachelor's degree in a relevant field and possess strong SQL skills with experience in data processing or migration. Proficiency in programming languages like Python, Java, or C# is required, along with the ability to analyze complex datasets.

Listed skills

• SQL · Preferred
• Java · Preferred
• C++ · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• SQL
• Data conversion
• Data migration
• ETL/ELT
• Python
• Java
• C#
• PowerShell
• Data processing
• Stored procedures
• Data integrity
• Reconciliation
• Relational databases
• Data mapping
• System modernization
• Workflow Management
• Business Objectives
• Scripting Languages
• Technical Design
• Java (Programming Language)
• Auditing
• Automation
• C# (Programming Language)
• Code Review
• Communication
• Computer Science
• Information Systems
• Data Processing
• Data Validation
• Data Conversion
• Data Engineering
• Data Governance
• Extract Transform Load (ETL)
• Data Migration
• Data Quality
• Data Structures
• Relational Databases
• Scalability
• Innovation
• Python (Programming Language)
• Operations
• Windows PowerShell
• Referential Integrity
• Software Engineering
• Stored Procedure
• SQL (Programming Language)
• Transaction Data
• Transformation Rules
• Troubleshooting (Problem Solving)
• Enterprise Application Software

Job areas

• Software
• Data & Analytics
• Technology
• Engineering
• Software Developer/Data Analyst
• Software Developer / Engineer
• Software Developers

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