Description

You will design, develop, and maintain data pipelines for ingesting, storing, and processing large datasets.

Responsibilities

• Develop and maintain data pipelines for both batch and real-time processing.
• Implement data analytics pipelines in collaboration with data science teams.
• Process, cleanse, and validate data integrity to support analysis and machine learning algorithms.
• Analyze large data stores to uncover patterns and propose technical solutions to business challenges.
• Document technical and functional specifications and analyze system processing flows.

Required Skills

• 5–7 years of experience in software development and data engineering.
• Expertise in Hadoop and Spark architecture and working principles.
• Hands-on experience with Big Data, Spark, and Hadoop technologies.
• Proficiency in Python, Scala, or Core Java.
• Strong SQL skills, including writing complex queries (Hive/PySpark data frames) and optimizing joins.
• Experience with Informatica and Oracle.
• Solid understanding of Data Warehousing concepts.
• Proficiency in Unix shell scripting.
• Experience in system application analysis, design, development, testing, and implementation.
• Bachelor of Computer Science or equivalent degree.

Preferred Skills

• Knowledge of the Financial reporting ecosystem.

Key Skills

Education

BACHELOR OF COMPUTER SCIENCE