Data Engineer

Data Engineer

Software Finder is seeking skilled and motivated Data Engineers to join its growing Data Engineering team. This AWS-focused role involves building and managing data pipelines end to end, from ingestion and transformation to delivering reliable datasets that support business intelligence, analytics, and strategic decision-making.

The ideal candidate will have strong SQL and Python skills, practical experience with AWS data services, and a solid understanding of data modeling and workflow orchestration. The data products developed in this role will support revenue-generating systems and business analytics, with opportunities to contribute to broader software engineering initiatives.

Key Responsibilities

• Design, build, deploy, and maintain scalable ETL/ELT pipelines using AWS services.
• Ingest, process, and transform data from multiple source systems into the organization’s data warehouse.
• Write, optimize, and maintain complex SQL queries for data transformation, modeling, reporting, and analytics.
• Develop reliable data models that support business intelligence dashboards, reporting, and business analysis.
• Orchestrate data workflows using Apache Airflow, AWS Step Functions, or similar technologies.
• Monitor pipeline performance and data freshness, investigate failures, and implement sustainable solutions.
• Collaborate with Business Intelligence teams to improve data accuracy, consistency, and reliability.
• Establish effective feedback loops between Data Engineering and Business Intelligence teams to address data-quality issues.
• Identify and resolve pipeline bottlenecks, data discrepancies, and recurring operational problems.
• Improve pipeline scalability, performance, observability, and cost efficiency.
• Apply data validation and quality-control practices throughout pipeline development and maintenance.
• Use AI-assisted development tools, such as Claude Code, to support development and iteration.
• Participate in code reviews and follow established software engineering and version-control standards.
• Maintain clear technical documentation for data pipelines, models, workflows, and system dependencies.
• Support broader backend and software engineering initiatives as business and team needs evolve.
• Contribute to additional data engineering and technology-related projects as required.

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 or software engineering role involving substantial data-related work.
• Strong SQL skills, including experience writing and optimizing complex queries.
• Proficiency in Python for data pipeline development, automation, and data processing.
• Hands-on experience with AWS data services such as Amazon S3, AWS Glue, Amazon Redshift, AWS Lambda, Amazon Athena, and Amazon EventBridge.
• Practical experience with Apache Airflow or AWS Step Functions for workflow orchestration.
• Strong understanding of data modeling fundamentals, including normalization and dimensional modeling.
• 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.
• Experience with dbt for SQL-based data transformation is preferred.
• Familiarity with Terraform or other infrastructure-as-code tools is preferred.
• Experience with CI/CD pipelines using GitHub Actions, AWS CodePipeline, or similar tools is preferred.
• Experience with data monitoring, observability, and pipeline cost optimization is preferred.
• Familiarity with AI coding assistants such as Claude Code is preferred.
• Understanding of data governance, validation, and quality-control practices is preferred.
• Interest in expanding into backend or broader software engineering responsibilities is preferred.