Senior Data Engineer

Tkxel; Lahore; On-site; PKR 1,116,000 - 1,674,000; Full time

Job summary

A leading technology firm in Lahore is seeking a seasoned Data Engineer with over 5 years of experience in architecting robust data solutions. The ideal candidate excels in cloud environments, particularly AWS and Azure, with a deep understanding of data services critical for efficient ETL processes and analytics. This role offers a chance to work with advanced tools and technologies to enhance data infrastructure.

Qualifications

• Over 5 years of experience in data engineering and cloud solutions.
• Proficiency in cloud environments, particularly AWS and Azure.
• Strong understanding of data services for ETL processes and analytics.

Skills

AWS Data Services

Azure Data Services

Data Engineering

ETL Processes

Data Warehousing

Data Modeling

Alteryx

Power BI

SQL

Python

PostgreSQL

MySQL

Microsoft SQL Server

MongoDB

Hadoop

Spark

Hive

Git

Job description

Professional Summary

We seek a seasoned Data Engineer with a proven track record of over 5 years in architecting robust data solutions. You are someone who excels in cloud environments, particularly AWS and Azure, and possesses a deep understanding of data services essential for efficient ETL processes and analytics.

Technical Canvas

• Cloud Mastery: Proficient in AWS and Azure Data Services, navigates the cloud landscape with ease, ensuring data pipelines are scalable and secure.
• Data Engineering Excellence: From ETL Processes to Data Warehousing and Data Modeling, these expertise are the backbone of data infrastructure.
• Tool Proficiency: Hands‑on with tools like Alteryx and Power BI, turning raw data into compelling visual stories.
• Coding Languages: With SQL and Python, speak the language of data fluently, crafting scripts that automate and analyze with precision.
• Database Systems: knowledge spans across PostgreSQL, MySQL, Microsoft SQL Server, and MongoDB, ensuring data integrity and accessibility.
• Big Data Technologies: Proficient with Hadoop, Spark, and Hive, navigating the big data ecosystem to harness its full potential.
• Version Control: With Git, maintain a meticulous record of the evolving data landscape, fostering collaboration and continuous improvement.