Senior Workday Adaptive Data Integration Specialist
14 hours ago
About SysTechCorp Inc
At SysTechCorp Inc, we are seeking a highly skilled Senior Workday Adaptive Data Integration Specialist to join our team. This role is responsible for designing and developing data integration solutions using Workday Adaptive tools and technologies.
Key Responsibilities:
- Create high-level design (HLD) and ETL designs to ensure efficient data pipelines.
- Build and maintain batch and real-time data pipelines on AWS technologies such as Glue, Redshift/Spectrum, Kinesis, EMR, and Athena.
Technical Requirements:
- Tune and optimize ETL processes for improved performance.
- Debug and resolve issues related to data transformation and loading.
Responsibilities:
- Develop, support, and maintain large-scale ETL workflows.
- Perform thorough review and testing of ETL programs to ensure data quality and performance.
Collaboration & Documentation:
- Collaborate with cross-functional teams to understand business requirements and deliver high-quality data solutions.
- Document all aspects of the ETL development process, including design specifications, troubleshooting steps, and performance tuning results.
Requirements:
- 4 to 6 years of hands-on experience in Workday Adaptive development.
- Bachelor's Degree in Computer Science, Information Technology, or a related field.
- Proficiency in AWS big-data technologies like Athena, Glue, Redshift, S3, DynamoDB, Kinesis, Lambda, and Snowflake.
- Strong expertise in SQL, ETL processes, and data warehousing concepts (SCD1, SCD2).
- Experience with Python or Java for data processing.
Preferred Qualifications:
- Experience performing the role of ETL Developer in at least 3 large end-to-end projects.
- In-depth knowledge of performance tuning of ETL programs and debugging complex data issues.
- Strong background in data warehouse concepts, including designing data models and data marts.
- Familiarity with Workday Adaptive Integration tools and best practices.
Estimated Salary: $120,000 - $150,000 per year
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