Senior Azure Data Engineer

March 13

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Intragen

Intragen is a trusted partner in Identity and Access Management (IAM) that offers a suite of solutions to enhance security posture and manage the complete user identity lifecycle. Their services include Identity Governance and Administration (IGA), Access Management (AM), Customer Identity Access Management (CIAM), and Privileged Access Management (PAM). Intragen specializes in protecting sensitive data and ensuring compliance across industries such as financial services, healthcare, higher education, and retail, driving efficiency and security in identity management with innovative, cloud-based solutions.

Identity Management β€’ Access Management β€’ Privileged Access Management β€’ Identity Governance Administration β€’ IAM Security Assessment

201 - 500 employees

Founded 2006

πŸ”’ Cybersecurity

πŸ’³ Fintech

πŸ“‹ Description

β€’ Design and develop end-to-end data integration solutions using Azure Data Factory (ADF). β€’ Create and manage complex ETL workflows to extract, transform, and load data from multiple sources efficiently. β€’ Set up and maintain Azure Data Lake Storage (ADLS) to centralize structured data. β€’ Improve data pipeline efficiency, scalability, and cost-effectiveness through best practices. β€’ Continuously monitor data pipelines, troubleshoot issues, and ensure data availability and integrity. β€’ Work closely with cross-functional teams to align data solutions with business requirements. β€’ Implement data governance and security best practices. β€’ Maintain clear documentation of data workflows, configurations, and operational processes.

🎯 Requirements

β€’ 5+ years in data engineering and ETL development, with a focus on Azure Data Factory (ADF). β€’ Strong experience with Azure Data Lake (ADLS), Azure SQL Database, and data integration concepts. β€’ Proficiency in SQL and experience with data modelling, database design, and data warehousing. β€’ Ability to optimize and troubleshoot ETL workflows for better performance. β€’ Experience with Azure DevOps, Git, and CI/CD pipelines for automating data deployments is a plus. β€’ Strong troubleshooting skills to diagnose and resolve data pipeline failures efficiently. β€’ Ability to work effectively with both technical and non-technical teams. β€’ Understanding of data security, governance, and GDPR compliance.

πŸ–οΈ Benefits

β€’ Birthday day off β€’ flexible & remote working β€’ access to LinkedIn Learning β€’ Employee of the Quarter award β€’ 5 dedicated training days per year

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January 29

Lineage

10,000+ employees

πŸš— Transport

Join Lineage Logistics as a Senior Data Engineer to enhance data infrastructure and analytics. Focus on building robust data models for efficient operations and decision-making.

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