Senior Python Data Engineer

IMR Soft Llc

Not Interested
Bookmark
Report This Job

profile Job Location:

Irving, TX - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Job Title: Sr Python Data Engineer
Work Location: Irving TX (Hybrid)
Duration: Long term
Job Description:
We are seeking an experienced Python Data Engineer with a strong background in building and maintaining scalable data pipelines. The ideal candidate will have proven expertise in data engineering GCP (Google Cloud Platform) and BigQuery with hands-on experience in API development and end-to-end data integration.
Key Responsibilities:
  • Design build and optimize data pipelines using Python.
  • Develop and maintain scalable ETL/ELT processes for structured and unstructured data.
  • Integrate data from multiple sources including APIs databases and cloud storage.
  • Work with GCP services (BigQuery Cloud Storage Pub/Sub Dataflow etc.).
  • Collaborate with data scientists analysts and product teams to deliver clean reliable datasets.
  • Implement best practices for data governance security and monitoring.
Required Skills & Experience:
  • Strong experience in Python for data engineering and pipeline development.
  • Solid understanding of data engineering concepts (ETL data modeling orchestration workflows).
  • Hands-on experience with Google Cloud Platform (GCP) especially BigQuery.
  • Experience developing and integrating APIs for data ingestion.
  • Strong SQL skills for querying transformation and optimization.
  • Knowledge of version control (Git) and CI/CD for data workflows.
  • Familiarity with orchestration tools (Airflow Cloud Composer etc.) is a plus.
Job Title: Sr Python Data Engineer Work Location: Irving TX (Hybrid) Duration: Long term Job Description: We are seeking an experienced Python Data Engineer with a strong background in building and maintaining scalable data pipelines. The ideal candidate will have proven expertise in data engine...
View more view more

Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala