Lead Data Platform Engineer/Architect

Luxoft; Abu Dhabi; On-site; AED 150,000 - 200,000; Full time

Job summary

A leading technology firm in Abu Dhabi seeks a Platform Engineer with at least 10 years of IT experience. The ideal candidate will manage and optimize data platforms, ensuring high availability and performance. Proficiency in SQL, Python, and tools like Databricks and AWS are essential. This is an opportunity to work with innovative data solutions in a dynamic environment.

Qualifications

• Minimum 10 years of experience in IT/Data.
• Minimum 5 years of experience as a Data Platform Engineer/Data Engineer.
• Proficiency in PySpark for distributed computing.

Responsibilities

• Manage and optimize data platforms (Databricks, Palantir).
• Ensure high availability, security, and performance of data systems.
• Provide valuable insights about data platform usage.
• Optimize computing and storage for large-scale data processing.

Skills

Data platforms management

ETL process optimization

SQL expertise

Python programming

Data modeling

Education

Bachelor's in IT or related field

Tools

Databricks

Palantir

Azure

AWS

SQL databases

Job description

Project description

We are seeking an expert with deep proficiency as a Platform Engineer, possessing experience in data engineering. This individual should have a comprehensive understanding of both data platforms and software engineering, enabling them to integrate the platform effectively within an IT ecosystem.

Responsibilities

• Manage and optimize data platforms (Databricks, Palantir).
• Ensure high availability, security, and performance of data systems.
• Provide valuable insights about data platform usage.
• Optimize computing and storage for large-scale data processing.
• Design and maintain system libraries (Python) used in ETL pipelines and platform governance.
• Optimize ETL Processes - Enhance and tune existing ETL processes for better performance, scalability, and reliability.

Must have

• Minimum 10 Years of experience in IT/Data.
• Minimum 5 years of experience as a Data Platform Engineer/Data Engineer.
• Bachelor\'s in IT or related field.
• Infrastructure & Cloud: Azure, AWS (expertise in storage, networking, compute).
• Data Platform Tools: Any of Palantir, Databricks, Snowflake.
• Programming: Proficiency in PySpark for distributed computing and Python for ETL development.
• SQL: Expertise in writing and optimizing SQL queries, preferably with experience in databases such as PostgreSQL, MySQL, Oracle, or Snowflake.
• Data Warehousing: Experience working with data warehousing concepts and platforms, ideally Databricks.
• ETL Tools: Familiarity with ETL tools & processes
• Data Modelling: Experience with dimensional modelling, normalization/denormalization, and schema design.
• Version Control: Proficiency with version control tools like Git to manage codebases and collaborate on development.
• Data Pipeline Monitoring: Familiarity with monitoring tools (e.g., Prometheus, Grafana, or custom monitoring scripts) to track pipeline performance.
• Data Quality Tools: Experience implementing data validation, cleaning, and quality frameworks, ideally Monte Carlo.

Nice to have

• Containerization & Orchestration: Docker, Kubernetes.
• Infrastructure as Code (IaC): Terraform.
• Understanding of Investment Data domain (desired).