Data Warehouse Developer

3 weeks ago

Ayala Alabang, National Capital Region, Philippines Allegro MicroSystems Full time

The Allegro team is united by a clear purpose—advancing technologies that make the world safer, more efficient, and more sustainable. With over 30 years of experience in semiconductor innovation, we bring that purpose to life across every part of the business—from breakthrough product development and customer success to how we show up for each other and the communities we serve.

The Opportunity

Allegro MicroSystems seeks a skilled Data Warehouse Developer to join our growing Business Intelligence team. This mid-level role will contribute to the enhancement and maintenance of our corporate-wide enterprise data warehouse. The ideal candidate will possess a strong understanding of data warehousing principles, data modeling techniques, and ETL processes. This position offers the opportunity to make a significant impact on data-driven decision-making across the organization.

What You'll Do

  • Design and develop robust data models to support business requirements.

  • Plan, implement, and maintain ETL procedures and architectures, ensuring data integrity and efficiency.

  • Monitor and optimize data load processes for performance and scalability.

  • Conduct data analysis to identify trends, patterns, and insights.

  • Collaborate with business stakeholders to gather requirements and translate them into technical specifications.

  • Troubleshoot and resolve data quality issues.

  • Contribute to the ongoing development and improvement of our data warehouse environment.

What You Will Need

  • Bachelor of Science degree in Computer Science, Data Analytics, or a related field.

  • Three or more years of hands-on experience in data modeling and database design, preferably with MS SQL Server.

  • Proven experience with ETL tools, preferably Informatica PowerCenter.

  • Strong proficiency in SQL and T-SQL.

  • Demonstrated ability to work effectively in a team environment.

DESIRED SKILLS

  • Familiarity with ETL programming languages such as Python, Java, or Ruby.

  • Excellent analytical and problem-solving skills.

  • Strong written, verbal, and interpersonal communication skills.

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