5-7 years of experience in data engineering or related field.
Proficient in SQL and familiar with structured and semi-structured data formats.
Understanding of cloud-based data engineering and modern data warehousing.
Strong troubleshooting skills and ability to optimize data solutions.
Excellent communication and documentation abilities.
Responsibilities
Develop and manage ETL/ELT workflows for data ingestion and integration.
Design and optimize data models within data platforms.
Collaborate with teams to translate data requirements into technical solutions.
Ensure data quality and performance across processes.
Monitor and troubleshoot existing data pipelines for optimization.
Support deployment and continuous improvement of data workflows.
Benefits
Opportunities for professional development and training.
Access to cutting-edge tools and technologies.
Collaborative work environment with diverse teams.
Flexible work arrangements to support work-life balance.
Full Job Description
Responsibilities
Develop and manage ETL/ELT workflows to support data ingestion, transformation, and integration.
Design, implement, and optimize data models and structures within data platforms.
Collaborate with data analysts, architects, and business teams to understand data requirements and translate them into efficient technical solutions.
Ensure data quality, reliability, and performance across all data processes.
Monitor, troubleshoot, and optimize existing data pipelines and integration solutions.
Support the deployment, documentation, and continuous improvement of data engineering processes and workflows.
Requirements and Qualifications
Strong SQL skills and solid knowledge of structured and semi-structured data formats.
Good understanding of cloud-based data engineering concepts and modern data warehousing practices.
Ability to troubleshoot issues, optimize performance, and deliver reliable data solutions.
Strong communication and documentation skills.
Preferred Qualifications
Experience with Talend for ETL/ELT development.
Experience with Snowflake, including data loading, performance tuning, and leveraging platform-specific features.
Experience with version control systems and CI/CD processes applied to data pipelines.
Familiarity with dbt or similar data transformation tools.
Knowledge of data governance principles, data quality frameworks, and industry best practices.
Experience with other Azure services (e.g., Azure Data Factory, Azure Databricks) is considered an asset.
Preferred Tools and Technologies
Talend Studio
Talend Management Console
Snowflake Snowsight
Azure DevOps
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The use of the masculine gender is done solely for the purpose of simplifying reading and research, and does not aim at any form of discrimination. LGS values diversity and inclusion and this wording has no discriminatory intent.
