qode

qode

qode is a company that focuses on unlocking global opportunities and unleashing potential through no-code solutions. They provide tools and services to help individuals and businesses develop software without the need for traditional coding skills.

Internet Software & Services

Description

  • Design, develop, and optimize ETL solutions using Informatica PowerCenter and IDQ.
  • Build large-scale data processing and analytics workflows with PySpark.
  • Develop Python- and Kafka-based streaming and batch data pipelines.
  • Analyze, design, and code ETL programs for data extraction, ingestion, quality checks, normalization, and loading.
  • Work with Hadoop ecosystem tools including HDFS, Hive, Sqoop, and MapReduce.
  • Apply data design, data modeling, and database concepts to support ETL workflows.
  • Deliver work using Agile methodology and Jira.
  • Coordinate with clients and cross-functional teams across the SDLC.
  • Use strong communication and leadership skills to support project delivery.

Requirements

  • 8–10 years of experience in Data Engineering and Data Analysis.
  • Strong hands-on experience with Informatica PowerCenter and IDQ for ETL development.
  • Advanced skills in PySpark for large-scale data processing and transformation.
  • Proficiency in Python and Kafka for streaming and batch data pipelines.
  • Solid working knowledge of Hadoop technologies, including HDFS, Hive, Sqoop, and MapReduce.
  • Strong understanding of database concepts, data design, data modeling, and ETL workflows.
  • Experience with Agile methodology and Jira.
  • Proven client-facing experience with strong communication and leadership skills.
  • Master’s or Bachelor’s degree in Computer Science or a related field.
  • Preferred exposure to AWS data components and analytics, machine learning models, AI concepts, and Erwin data modeling tools.

Interested in this position?

Apply directly on the company website

Apply Now

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