SysTechCorp - Workday Adaptive ETL Developer

1 week ago

Gurugram, India SysTechCorp Inc Full time

Key Responsibilities :

1. Workday Adaptive Development & Integration :

- Design and develop data integration solutions using Workday Adaptive tools and technologies.

- Interface with other technology teams to extract, transform, and load (ETL) data from various sources using SQL and AWS big-data technologies.

2. ETL Design & Implementation :

- Create High-Level Design (HLD) and ETL design 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.

- Design and optimize AWS ETL workflows and mapping processes.

3. Data Pipeline Management :

- Develop, support, and maintain large-scale ETL workflows.

- Perform thorough review and testing of ETL programs to ensure data quality and performance.

4. Performance Tuning & Troubleshooting :

- Tune and optimize ETL processes for improved performance.

- Debug and resolve issues related to data transformation and loading.

5. 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.

Minimum Qualifications :

- 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

(ref:hirist.tech)

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