About the job
Role Overview
qodeworld is hiring a Senior Data Engineer with deep experience in Informatica and PySpark. This role is based in Pennsylvania and requires working onsite three days each week.
What You Will Do
- Apply 8–10 years of hands-on experience in data engineering and data analysis.
- Design, develop, and optimize ETL processes using Informatica PowerCenter and Informatica Data Quality (IDQ).
- Build and maintain large-scale data processing and analytics solutions with advanced PySpark skills.
- Work with Hadoop technologies, including HDFS, Hive, Sqoop, and MapReduce.
- Develop streaming and batch data pipelines using Python and Kafka.
- Use strong knowledge of database concepts, data modeling, and ETL workflows to support data architecture and design.
- Manage the full ETL lifecycle: data extraction, ingestion, quality checks, normalization, and loading.
- Contribute to Agile projects, using Jira for tracking and delivery.
- Engage directly with clients, coordinating across the software development lifecycle and communicating clearly with stakeholders.
Preferred Qualifications
- Experience with AWS data services and analytics tools.
- Familiarity with machine learning models and AI concepts.
- Knowledge of data modeling tools such as Erwin.

