Job Overview
Role: Data Engineer, Tech. Category: Tech. Location: Lahore (Ibex 1) Plot no. 7, Aitchison Street 1KM Thokar Niaz Baig, Raiwind Road Lahore, PK. Employment Type: Full Time. Date Posted: 2025-04-23. Application Deadline: 2026-07-11.
Overview
We are seeking a highly motivated and responsible
Data Engineer to join our dynamic team. This role requires hands-on experience in building scalable data pipelines, managing structured and unstructured databases, and supporting end-to-end data operations. The ideal candidate will bring strong problem-solving skills, a collaborative mindset, and a commitment to data excellence.
Responsibilities
- Design, develop, and manage reliable and scalable data pipelines.
- Clean, validate, and transform data from multiple sources for analytics and operational use.
- Work with large datasets and ensure high data quality and availability.
- Develop and maintain ETL workflows using standard tools and scripting.
- Automate data extraction, transformation, and loading processes across systems.
- Monitor and optimize performance of data workflows for speed and efficiency.
- Develop, maintain, and optimize complex SQL queries, stored procedures, functions, and views.
- Design and implement relational database schemas and indexing strategies.
- Ensure data integrity, security, and compliance within SQL Server environments.
- Work with MongoDB for storing and querying unstructured or semi-structured data.
- Design document-based data models and manage performance tuning for MongoDB.
- Handle replication and backup strategies where applicable.
- Analyze complex data requirements and translate them into efficient technical solutions.
- Identify data-related issues, perform root-cause analysis, and deliver timely resolutions.
- Work closely with data analysts, software engineers, and business stakeholders to understand requirements.
- Participate in code reviews, team planning sessions, and cross-functional meetings.
- Take ownership of assigned tasks with accountability and attention to detail.
- Exhibit a proactive approach to delivering solutions and supporting team goals.
- Contribute to architectural discussions and recommend improvements based on industry best practices.
Qualifications
- Bachelor’s degree in Computer Science, Information Systems, or a related field.
- 2–3 years of experience in data engineering or database development roles.
- Strong proficiency in SQL Server (T-SQL, indexing, optimization).
- Hands-on experience with MongoDB or other NoSQL technologies.
- Familiarity with data pipeline tools and ETL development.
- Working knowledge of Python or similar scripting languages.
- Understanding of data modeling, normalization, and data warehousing concepts.
- Strong analytical thinking and problem-solving skills.
- Excellent communication and teamwork abilities.
Key Responsibilities
- Design, develop, and manage reliable and scalable data pipelines.
- Clean, validate, and transform data from multiple sources for analytics and operational use.
- Work with large datasets and ensure high data quality and availability.
- Develop and maintain ETL workflows using standard tools and scripting.
- Automate data extraction, transformation, and loading processes across systems.
- Monitor and optimize performance of data workflows for speed and efficiency.
- Develop, maintain, and optimize complex SQL queries, stored procedures, functions, and views.
- Design and implement relational database schemas and indexing strategies.
- Ensure data integrity, security, and compliance within SQL Server environments.
- Work with MongoDB for storing and querying unstructured or semi-structured data.
- Design document-based data models and manage performance tuning for MongoDB.
- Handle replication and backup strategies where applicable.
- Analyze complex data requirements and translate them into efficient technical solutions.
- Identify data-related issues, perform root-cause analysis, and deliver timely resolutions.
- Work closely with data analysts, software engineers, and business stakeholders to understand requirements.
- Participate in code reviews, team planning sessions, and cross-functional meetings.
- Take ownership of assigned tasks with accountability and attention to detail.
- Exhibit a proactive approach to delivering solutions and supporting team goals.
- Contribute to architectural discussions and recommend improvements based on industry best practices.
Eligibility / Qualification Required:
- Bachelor’s degree in Computer Science, Information Systems, or a related field.
- 2–3 years of experience in data engineering or database development roles.
- Strong proficiency in SQL Server (T-SQL, indexing, optimization).
- Hands-on experience with MongoDB or other NoSQL technologies.
- Familiarity with data pipeline tools and ETL development.
- Working knowledge of Python or similar scripting languages.
- Understanding of data modeling, normalization, and data warehousing concepts.
- Strong analytical thinking and problem-solving skills.
- Excellent communication and teamwork abilities.
How to Apply:
Apply online using the official IBEX application link below.
Apply Now