Join Verinext, a technology company that's not just keeping up with the future, but actively shaping it. At Verinext, we firmly believe that work should be as enjoyable as it is rewarding. As a Jr. Database Engineer, you'll be stepping into an environment that thrives on innovation and fun. Our team-oriented culture isn't just a buzzword; it's a cornerstone of our success. We're incredibly proud to have been recognized as a "Best Place to Work" by the Philadelphia Business Journal for 10 consecutive years.
We are seeking a motivated and detail-oriented Junior Database Engineer to join our dynamic team. This role is ideal for individuals with a solid foundation in SQL, ETL processes, and data warehousing who are looking to advance their careers in database engineering and data management.
Key Responsibilities:
- SQL Development: Write, optimize, and maintain SQL queries to support data retrieval and manipulation tasks.
- ETL Processes: Design, develop, and maintain ETL (Extract, Transform, Load) processes to ensure accurate and efficient data movement between systems.
- Data Warehousing: Assist in the design, implementation, and maintenance of data warehousing solutions to support business intelligence and analytics needs.
- Data Quality: Monitor and ensure data accuracy, consistency, and reliability across different systems.
- Reporting and Analytics: Develop and maintain reports and dashboards to provide insights and support decision-making processes.
- Collaboration: Work closely with data analysts, software developers, and other stakeholders to understand data requirements and deliver solutions.
Required Skills and Qualifications:
- Educational Background: Bachelor’s degree in Computer Science, Information Technology, or a related field.
- SQL Proficiency: Strong knowledge of SQL and experience with relational database management systems (RDBMS) such as MySQL, PostgreSQL, or SQL Server.
- ETL Tools: Familiarity with ETL tools and processes, such as Apache Nifi, Talend, or Informatica.
- Data Warehousing: Understanding of data warehousing concepts and experience with platforms like Amazon Redshift, Snowflake, or Google BigQuery.
- Programming Skills: Basic knowledge of programming languages such as Python or Java for data manipulation and automation tasks.
- Analytical Skills: Strong analytical and problem-solving skills with meticulous attention to detail.
- Communication: Excellent verbal and written communication skills to effectively collaborate with team members and stakeholders.
Preferred Skills:
- BI Tools: Experience with business intelligence tools such as Tableau, Power BI, or Looker.
- Cloud Platforms: Exposure to cloud computing platforms like AWS, Azure, or Google Cloud.
- Version Control: Familiarity with version control systems like Git.
Personal Attributes:
- Team Player: Ability to work collaboratively in a team environment.
- Self-Motivated: Proactive and eager to learn new technologies and improve existing skills.
- Detail-Oriented: Strong attention to detail and commitment to delivering high-quality work.