Data Engineer

We are seeking a highly skilled Data Stage Senior Developer with 5+ years of experience in designing, developing, and supporting enterprise data integration and ETL solutions using IBM Info Sphere Data Stage. The ideal candidate will have strong expertise in data warehousing, ETL development, database technologies, and performance optimization. The individual will work closely with business stakeholders, data architects, and development teams to deliver high-quality data solutions.

• Design, develop, test, and deploy ETL processes using IBM Info Sphere Data Stage.
• Analyze business requirements and translate them into technical ETL solutions.
• Develop and maintain Data Stage jobs, sequences, shared containers, and reusable components.
• Perform data extraction, transformation, and loading (ETL) from multiple source systems to data warehouses and data marts.
• Optimize Data Stage jobs for performance, scalability, and reliability.
• Monitor ETL workflows and troubleshoot production issues.
• Conduct data validation, reconciliation, and quality checks.
• Work with database teams to design and implement efficient data models.
• Create and maintain technical documentation, mapping documents, and deployment procedures.
• Participate in code reviews and ensure adherence to development standards and best practices.
• Support production releases, incident management, and root cause analysis.
• Collaborate with cross-functional teams including Business Analysts, Architects, QA teams, and Support teams.

• ETL & Data Integration:
• IBM Info Sphere Data Stage (PX/Parallel Jobs, Server Jobs, Sequences)
• Data Stage Designer, Director, Administrator
• Job sequencing and workflow management
• Data Stage performance tuning and optimization
• Databases:
• Oracle
• SQL Server
• Snowflake (preferred)
• Programming & Scripting:
• SQL and Advanced SQL Queries
• Python (preferred)
• Data Warehousing:
• Data Warehouse concepts
• Dimensional Modeling (Star Schema, Snowflake Schema)
• Fact and Dimension tables
• Data Migration and Data Conversion

• Control-M or Autosys
• Git, SVN, or other version control tools
• JIRA or Agile project management tools

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
• 5+ years of hands-on experience with IBM Info Sphere Data Stage development.
• Strong knowledge of ETL methodologies and data integration best practices.
• Experience working with large-volume data processing environments.
• Strong SQL and database development skills.
• Experience in production support and issue resolution.
• Understanding of Software Development Life Cycle (SDLC) and Agile methodologies.

• IBM Data Stage Certification.
• Experience with Cloud Data Platforms such as AWS, Azure, or Snowflake.
• Knowledge of Data Governance and Data Quality frameworks.
• Experience with Big Data technologies (Hadoop, Spark) is a plus.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management skills.
• Ability to work independently and lead ETL development activities.
• Attention to detail and commitment to data quality.
• Strong teamwork and collaboration abilities.

• Snowflake Data Warehouse
• Informatica or Talend ETL tools
• AWS
• Databricks
• Kafka or real-time data integration technologies

The pay range that the employer in good faith reasonably expects to pay for this position is $42.18/hour - $65.91/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America's leading providers of Staffing and Consulting Services. Our success and our clients' success are built on a foundation of service excellence. We are an equal…