About the job
About the Role
qodeworld is hiring a Senior Data Engineer with deep experience in Informatica and PySpark. This position focuses on building and optimizing data solutions for large-scale analytics. The role is based in either Cleveland, OH or Pittsburgh, PA and requires onsite work three days per week.
Main Responsibilities
- 8–10 years of experience in data engineering and data analysis.
- Hands-on expertise with Informatica PowerCenter and Informatica Data Quality (IDQ) for ETL design, development, and optimization.
- Advanced proficiency with PySpark for processing, transforming, and analyzing large datasets.
- Strong knowledge of Hadoop technologies, including HDFS, Hive, Sqoop, and MapReduce.
- Solid programming skills in Python and Kafka to build both streaming and batch data pipelines.
- Thorough understanding of database concepts, data modeling, data design, and ETL workflows.
- Experience across all phases of the ETL lifecycle: data extraction, ingestion, quality checks, normalization, and loading.
- Comfort working in Agile environments, using tools such as Jira to support project delivery.
- Proven background in client-facing roles, with strong communication and leadership skills to manage the software development lifecycle.
Preferred Skills
- Familiarity with AWS data components and analytics.
- Understanding of machine learning models and AI concepts.
- Experience with data modeling tools like Erwin.
Qualifications
- Bachelor’s or Master’s degree in Computer Science or a related discipline.
- Strong problem-solving skills and a collaborative approach to cross-functional teamwork.

