Senior Data Engineer

Position: Senior Data Engineer

Overview

Reporting:

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Location:

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Key Responsibilities

• Design and develop scalable data pipeline architectures for data extraction, transformation, and loading (ETL) using modern Big Data frameworks.
• Identify and implement process improvements such as automation, optimization, and infrastructure re-design for scalability and performance.
• Collaborate closely with Engineering, Product, Data Science, and Design teams to resolve data-related challenges and meet infrastructure needs.
• Partner with machine learning and analytics experts to enhance system accuracy, functionality, and innovation.
• Maintain and extend robust data workflows and ensure consistent delivery across multiple products and systems.
  

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 10+ years of hands-on experience in Data Engineering.
• 5+ years of recent experience with Apache Spark, with a strong grasp of distributed systems and Big Data fundamentals.
• Proficiency in Scala, Python, Java, or similar languages, with the ability to work across multiple programming environments.
• Strong SQL expertise and experience working with relational databases such as PostgreSQL or MySQL.
• Proven experience with Databricks and cloud-based data ecosystems.
• Familiarity with diverse data formats such as Delta Tables, Parquet, CSV, and JSON.
• Skilled in Linux environments and shell scripting for automation and system tasks.
• Experience working within Agile teams.
• Knowledge of Machine Learning concepts is an added advantage.
• Demonstrated ability to work independently and deliver efficient, stable, and reliable software solutions.
• Excellent communication and collaboration skills in English.
  

About The Organization

What We Offer

• Paid Holidays and Leaves
• Performance Bonuses and Incentives
• Comprehensive Medical Policy
• Company-Sponsored Training Programs