_{08th October, 2025}

For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients' critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community.
 
Job Title: Data Engineer III
Location: Cincinnati, OH (Onsite 3–4 days/week)

Overview Our banking client is embarking on a large-scale data modernization initiative to migrate commercial enterprise data from DB2 systems to a modern cloud data platform. The Data Engineer III will play a critical role in this migration effort—designing, building, validating, and optimizing data pipelines that ensure data integrity, scalability, and compliance.
This role combines hands-on engineering with strategic collaboration across business lines, data architecture, and infrastructure teams. The ideal candidate has a strong foundation in SQL, ETL, and data automation, coupled with prior enterprise-scale migration experience in financial services or other regulated industries.

Top SkillsMust Have

• Business Intelligence and Data Engineering expertise
• Strong DB and SQL knowledge (DB2, Oracle, or SQL Server)
• Experience with enterprise applications and integrations
• Proven success in large-scale data migrations (10K+ customers, multiple LOBs)

Nice to Have

• Java and WebSphere Application Server (WAS 9) familiarity
• Knowledge of data modeling and automation frameworks
• Hands-on experience with Python or ETL scripting languages
• Understanding of cloud data ecosystems (Azure, AWS, or GCP)

Key Responsibilities

• Design and implement data migration strategies from DB2 to Cloud.
• Develop and optimize ETL/ELT pipelines to automate migration workflows.
• Write and maintain Python scripts for data validation, reconciliation, and transformation.
• Define migration phases, checkpoints, and quality control gates to ensure data accuracy.
• Conduct data validation and reconciliation between source and target systems.
• Collaborate closely with DBAs, architects, application teams, and business partners to ensure migration readiness.
• Apply data quality and compliance best practices throughout all migration phases.
• Participate in code reviews, documentation, and release management processes.

Qualifications

• 6+ years of professional experience in Data Engineering, ETL development, or Database Administration.
• Proven experience in large-scale migration projects (10K+ customers or multi-LOB environments).
• Strong understanding of SQL, data modeling, and database optimization techniques.
• Hands-on experience with Python, ETL tools, or data integration frameworks (e.g., DataStage, Informatica, ADF).
• Familiarity with cloud-based data platforms (Azure Synapse, Databricks, AWS Redshift, or GCP BigQuery).
• Understanding of financial data domains, especially Payments and Treasury Management, is a plus.
• Excellent communication, documentation, and problem-solving skills.

What You'll Get
 
SDS, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.
 

• Competitive base salary
• Medical, dental, and vision insurance coverage
• Optional life and disability insurance provided
• 401(k) with a company match and optional profit sharing
• Paid vacation time
• Paid Bench time
• Training allowance offering
• You'll be eligible to earn referral bonuses!

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