Senior Data Engineer at GSSTech Group

Dubai, Dubai, United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

29 Jun, 26

Salary

0.0

Posted On

31 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, PySpark, Apache Spark, Hadoop, SQL, Data Pipelines, Feature Engineering, Data Modeling, Data Warehousing, Git, CI/CD, EDA, Spark Optimization, Cloud Platforms, Agile

Industry

IT Services and IT Consulting

Description

We are seeking a highly skilled Senior Data Engineer to join our Data Engineering team. The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and enabling advanced analytics and machine learning use cases. This role requires strong expertise in big data technologies, data processing frameworks, and feature engineering to support ML models in a production environment. Key Responsibilities Gather and analyze business and technical requirements for data solutions Perform Exploratory Data Analysis (EDA) to understand data patterns and quality Design, build, and maintain scalable and high-performance data pipelines Ingest structured and unstructured data from multiple sources Transform and process large datasets using PySpark and Python Implement feature engineering techniques for machine learning models Optimize Spark jobs for performance and cost efficiency Ensure data quality, integrity, and security across pipelines Collaborate with Data Scientists, Analytics Teams, and Delivery Leads Work in an Agile environment with cross-functional teams Communicate effectively with stakeholders and provide technical insights Maintain version control and CI/CD workflows using Git Required Skills & Expertise Strong experience in Python and PySpark Hands-on expertise in Apache Spark (performance tuning & optimization) Solid knowledge of Hadoop ecosystem Advanced proficiency in SQL Experience in building end-to-end data pipelines and ML pipelines Strong understanding of data modeling and data warehousing concepts Experience with feature engineering for ML use cases Familiarity with Git and version control systems Exposure to cloud platforms (AWS/Azure/GCP) is a plus Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 8–10+ years of experience in Data Engineering / Big Data Prior experience working in banking or financial services is preferred Soft Skills Strong problem-solving and analytical thinking Excellent communication and stakeholder management skills Ability to work independently and in a team environment Adaptability to fast-paced Agile workflows

Responsibilities

The Senior Data Engineer will be responsible for designing, building, and optimizing scalable data pipelines to support advanced analytics and machine learning use cases. Key tasks include gathering requirements, performing EDA, ingesting and transforming data using PySpark, and implementing feature engineering for ML models.