Data Engineer, Tech

ibex


Date: 13 hours ago
City: Lahore
Contract type: Full time
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.

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