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TerraBarn Inc

Data Engineer | SQL | Python | ETL

Posted Updated
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Salary: ₱50,000 – ₱60,000 per month

Key responsibilities

  • Develop and maintain SQL queries and database solutions to extract, transform, and load data from multiple sources

  • Design and implement ETL pipelines to automate data collection, cleaning, and integration processes

  • Create and optimise Python scripts for data manipulation, analysis, and reporting

  • Perform data quality assurance and validation to ensure accuracy and consistency across datasets

  • Build and maintain data models that support business requirements and analytical needs

  • Generate reports, dashboards, and visualisations to communicate data findings to stakeholders

  • Collaborate with business teams to understand data requirements and translate them into technical solutions

  • Monitor and optimise database performance and data pipeline efficiency

  • Troubleshoot data-related issues and implement solutions to resolve discrepancies

  • Document data processes, methodologies, and technical specifications for future reference

What we're looking for

  • Proven proficiency in SQL with the ability to write complex queries, design schemas, and optimise database performance

  • Strong programming experience in Python for data analysis, manipulation, and automation

  • Demonstrated experience designing and implementing ETL processes and data pipelines

  • Solid understanding of relational and non-relational database structures

  • Experience with data visualisation tools and business intelligence platforms

  • Strong analytical and problem-solving skills with attention to detail

  • Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders

  • Experience with version control systems and collaborative development practices

  • Knowledge of data governance, data quality standards, and best practices in database administration

  • Bachelor's degree in Computer Science, Information Technology, Mathematics, Statistics, or a related field, or equivalent professional experience

  • Preferred: Experience with cloud-based data platforms (AWS, Azure, or Google Cloud), big data technologies, or additional programming languages

What we offer

  • Competitive salary package commensurate with experience and qualifications

  • Full-time permanent position with job security and career growth opportunities

  • Professional development and training programmes to enhance technical skills

  • Collaborative and innovative work environment that values data-driven decision-making

  • Access to modern tools, technologies, and infrastructure for database development and analysis

  • Flexible working arrangements to support work-life balance

  • Comprehensive benefits package including health and wellness initiatives

  • Mentorship opportunities from experienced professionals in the data and technology space

  • Clear career progression pathways within the technology and data analytics divisions


Skills

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See also

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