Job Overview

Software Finder is seeking skilled and motivated Data Engineers to join our growing Data Engineering team. This is a generalist AWS-focused role where you will own data pipelines end-to-end—from ingestion and transformation to delivering reliable data that supports business intelligence and strategic decision-making.

The pipelines and data products you build will directly support revenue-driving systems and analytics, extending beyond internal reporting. This role also offers opportunities to expand into broader software engineering responsibilities as your expertise and the team’s needs evolve.

Key Responsibilities

• Design, build, deploy, and maintain scalable ETL/ELT pipelines on AWS.

• Ingest and transform data from multiple source systems into the organization’s data warehouse.

• Write, optimize, and maintain complex SQL queries for data transformation, modelling, and analytics.

• Develop reliable data models that support BI dashboards, reporting, and business analysis.

• Orchestrate workflows using Apache Airflow or AWS Step Functions.

• Monitor pipeline health, investigate failures, and implement long-term solutions to recurring issues.

• Collaborate closely with the BI team to improve data accuracy, consistency, and trustworthiness.

• Establish feedback loops between Data Engineering and BI to address data-quality gaps.

• Improve pipeline reliability, performance, observability, and cost efficiency.

• Use AI-assisted development tools, such as Claude Code, to accelerate development and iteration.

• Participate in code reviews and follow established engineering standards.

• Maintain technical documentation for pipelines, data models, and workflows.

• Gradually contribute to broader backend and software engineering initiatives.

• Perform additional data engineering and technology-related tasks as assigned.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Information Technology, or a related discipline.

• 2–3 years of professional experience in data engineering or a backend/software engineering role involving significant data work.

• Strong SQL skills, including experience writing and optimizing complex queries.

• Proficiency in Python for building data pipelines and automation workflows.

• Hands-on experience with AWS data services such as S3, Glue, Redshift, Lambda, Athena, and EventBridge.

• Practical experience with Apache Airflow or AWS Step Functions for workflow orchestration.

• Strong understanding of data-modelling fundamentals, including normalization and dimensional modelling.

• Familiarity with Git and collaborative software-development workflows.

• Ability to troubleshoot data-quality issues, pipeline failures, and performance bottlenecks.

• Strong analytical, problem-solving, and cross-functional communication skills.

• Willingness to work onsite in Lahore from 11:00 AM to 8:00 PM PKT.

Preferred Skills

• Experience with dbt for SQL-based data transformation.

• Familiarity with Terraform or other infrastructure-as-code tools.

• Experience with CI/CD pipelines using GitHub Actions, AWS CodePipeline, or similar tools.

• Experience with data monitoring, observability, and pipeline-cost optimization.

• Familiarity with AI coding assistants such as Claude Code.

• Understanding of data governance, validation, and quality-control practices.

• Interest in growing into broader backend or software engineering responsibilities.
  
  Location: Lahore, Onsite
  Working Hours: 11:00 AM–8:00 PM PKT
  Number of Openings: 2