Data Engineer

About Us?

Avanceon is a multinational corporation which specializes in automation, control systems integration, energy management solutions, and support services. With offices in Dubai, Qatar, Saudi Arabia, and Pakistan, it has established a significant market presence. Over its 24-year history, Avanceon has evolved into a comprehensive provider offering automation, energy management, service, and maintenance solutions. Through its extensive experience and diverse client base, including major blue-chip companies, it has garnered strong credentials and expertise in the industry.

Job Overview:

We are looking for a Data Engineer to join our team and design, build, and maintain robust and scalable data pipelines. The ideal candidate will play a critical role in developing systems that process and analyze data efficiently, enabling data-driven decision-making across the organization.

Key Responsibilities:

• Design, develop, and maintain ETL pipelines to ingest, transform, and load large volumes of data from various sources into data lakes and data warehouses.
• Collaborate with Data Scientists, Analysts, and Software Engineers to ensure clean and reliable data for analytical solutions and models.
• Build and optimize data storage and retrieval systems using Microsoft Azure Coud Platform
• Develop and maintain data models, databases, and schemas to support business intelligence, reporting, and analytics.
• Implement data governance principles, including quality, integrity, and security protocols.
• Monitor, troubleshoot, and improve data pipelines, ensuring systems are reliable and scalable.
• Automate data workflows and optimize performance using modern tools like Apache Spark, Airflow, or similar orchestration frameworks.
• Perform root-cause analysis on complex data issues and implement solutions.
• Keep up-to-date with emerging technologies in data engineering, proposing innovative solutions to improve data infrastructure.

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, IT, or related field.
• 3-5+ years of experience in a Data Engineering role or similar capacity.
• Proficiency with SQL and programming languages such as Python or Java.
• Experience with Azure Data Platform (Data Factory, Synapse Analytics, Databricks, AppLogic)
• Hands-on experience with ETL/ELT tools (e.g., SQL SSIS , Apache Airflow, Talend, Matillion, Informatica).
• Familiarity with big data technologies like Apache Spark, Kafka, or Hadoop.
• Knowledge of data warehousing concepts and experience with platforms like SQL Server, Azure Synapse Analytics (formerly Azure SQL Data Warehouse), Snowflake, Redshift, or BigQuery.
• Strong problem-solving skills and an ability to analyze complex data architectures.
• Familiarity with CI/CD pipelines, version control (e.g., Git), and data automation.
• Experience working in an Agile environment.

Nice-to-Have Skills

• Experience with streaming data frameworks (Kafka, Flink, Kinesis).
• Knowledge of data governance and security practices (GDPR, HIPAA compliance).
• Understanding of Machine Learning Operations (MLOps) or DataOps.
• Certifications in relevant technologies like Azure Data Engineer, or Google Professional Data Engineer.

Why Join Us?

• Opportunity to work with a talented team on impactful data-driven projects.
• Access to cutting-edge tools and technologies.
• Competitive salary, benefits, and a dynamic work environment.
• Travel for easy commute.