For more than 80 years, our client’s engineers and product specialists have partnered with customers to produce highly engineered connectivity and sensing solutions that make a connected world possible. Their focus on reliability, durability, and sustainability exemplifies their commitment to progress. The unmatched range of their product portfolio enables companies, large and small, to turn ideas into technology that can transform how the world works and lives tomorrow.
Responsibilities:
Database Maintenance & Support
- Assist in the maintenance of relational databases (Oracle, SQL Server).
- Support schema creation, updates, normalization, and performance tuning.
- Monitor data quality, identify inconsistencies, and help ensure data integrity across systems.
Data Migration & Platform Transition
- Support data extraction, transformation, and loading (ETL) during system migrations and platform upgrades.
- Assist in transitioning data between legacy environments and modern systems, including Databricks.
- Validate migrated data and document reconciliation results. Data Analysis & Querying
- Write and execute SQL queries for analysis, verification, and operational needs in Oracle and SQL Server environments.
- Participate in exploratory and diagnostic analysis to uncover trends and support business decisions.
Documentation & Governance
- Maintain accurate documentation of data processes, transformations, and system behaviors.
- Support compliance with organizational standards for data governance and metadata management.
Requirements:
Required Skills & Qualifications
- Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Engineering, or related field.
- Foundational understanding of relational database concepts and SQL.
- Introductory experience or coursework using Oracle, SQL Server, or similar RDBMS platforms.
- Strong analytical thinking, attention to detail, and problem solving skills.
- Ability to collaborate with technical teams in a fast paced environment.
Preferred Skills & Qualifications
- Exposure to Databricks or other big data / cloud analytics technologies.
- Understanding of ETL concepts, data pipelines, or data transformation frameworks.
- Familiarity with PL/SQL, SSIS, or other database programming tools.
- Interest in learning modern data lake, delta, or virtualization technologies (e.g., Denodo).