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GSSTech Group

Posted 2 months ago

Open

Senior Data Engineer

DubaiOn-siteFull-time

AI Summary

Senior Data Engineer designs, builds, and optimizes scalable data pipelines and ML-ready data for analytics initiatives. Partners with data scientists and cross-functional teams to transform raw data into actionable insights.

About this role

We are seeking a highly skilled Senior Data Engineer to join our Data Engineering team. The ideal candidate will play a critical role in designing, building, and optimizing scalable data pipelines and enabling advanced analytics and machine learning initiatives.

You will work closely with Data Scientists, Analytics Delivery Leads, and cross-functional teams to transform raw data into actionable insights in a fast-paced Agile environment.

Key Responsibilities

  • Collaborate with stakeholders to gather and analyze data requirements
  • Perform Exploratory Data Analysis (EDA) to understand data patterns and quality
  • Design and develop robust, scalable, and high-performance data pipelines
  • Ingest, process, and transform large-scale structured and unstructured datasets
  • Implement feature engineering techniques to support machine learning models
  • Optimize Spark jobs for performance, scalability, and cost efficiency
  • Ensure data quality, integrity, and security across pipelines
  • Work closely with Data Scientists and Analytics teams to deploy ML pipelines
  • Participate in Agile ceremonies and contribute to continuous improvement
  • Communicate technical solutions effectively to both technical and non-technical stakeholders

Required Skills & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • 8–10 years of experience in Data Engineering and Big Data ecosystems
  • Strong programming expertise in Python
  • Hands-on experience with **PySpark / Apache Spark **, including performance tuning
  • Solid understanding of Hadoop ecosystem
  • Advanced proficiency in SQL
  • Experience with data pipeline development and ETL frameworks
  • Familiarity with Machine Learning pipelines and feature engineering
  • Experience with version control systems (Git)
  • Strong problem-solving and analytical skills

Good to Have

  • Experience with cloud platforms (AWS / Azure / GCP)
  • Knowledge of data warehousing solutions
  • Exposure to workflow orchestration tools (Airflow, etc.)
  • Experience working in banking or financial services domain

Key Competencies

  • Strong collaboration and communication skills
  • Ability to work in a fast-paced Agile environment
  • Ownership mindset and attention to detail
  • Stakeholder management and coordination

Skills

AirflowApache SparkCloud Platforms (AWS, Azure, GCP)Data Pipeline DevelopmentETL FrameworksFeature EngineeringGitHadoop EcosystemPySparkPythonSpark Job OptimizationSQL

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