Database Developer + Data engineering

A Database Developer at Jalasoft is responsible for developing and optimizing database solutions, engineering data pipelines, and transforming data into actionable insights. This includes hands-on experience with SQL Server, performance tuning, and developing ETL/ELT processes. Your role will largely involve backend data engineering, where you will be expected to work with enterprise-level database systems and collaborate within a dynamic team.

To qualify for the Database Developer position at Jalasoft, candidates should have a minimum of 5 years of experience working with SQL Server and strong skills in T-SQL and performance tuning. A solid understanding of ETL/ELT pipeline development is crucial, alongside experience debugging complex SQL queries. Familiarity with version control systems like Git and a proactive approach to communication will also be beneficial.

Yes, Jalasoft offers a flexible remote work environment for the Database Developer position. We encourage our team to thrive in a setup that suits their best working style while contributing effectively to projects. This flexibility allows you to maintain a balance between your professional and personal life.

Jalasoft values soft skills such as strong problem-solving capabilities, effective communication, and the ability to adapt to loosely defined project scopes. As a Database Developer, you'll need to be a proactive communicator and a self-starter, capable of navigating evolving requirements while documenting work clearly for the team.

As a Database Developer at Jalasoft, you will enjoy a range of benefits including a supportive and innovative working environment, generous leave policies such as 13 floating holidays and 15 vacation days per year, as well as opportunities for professional growth. This role offers a great chance to work on cutting-edge data solutions in a collaborative team.

When answering this question, focus on your hands-on experience with SQL Server, including specific projects or challenges you've faced. Highlight your skills in T-SQL, performance tuning, and any successful optimizations you've made. Providing concrete examples will demonstrate your capabilities effectively.

In your response, outline a step-by-step approach to debugging, such as checking query plans, analyzing execution metrics, and testing each segment of the query. Discuss any tools you use to aid in the process and how your debugging practices lead to improved query performance.

Discuss your methodologies for ETL/ELT pipeline development, emphasizing best practices such as data validation, error handling, and modular design. Share any specific tools or frameworks you've worked with and how they contributed to efficient data processing flows.

Mention the importance of clear documentation in database projects and your preferred methods for achieving this, like using structured comments in code, creating comprehensive readme files, or leveraging documentation platforms. Illustrate how this practice facilitates collaboration within teams.

Share a specific example from your professional experience, detailing the problem, the steps you took to address it, and the eventual outcome. Focus on how you utilized your technical skills and soft skills to overcome the challenge and what you learned from it.

Explain your familiarity with version control systems, especially Git, and how you use it to manage changes in database code. Discuss strategies you apply to maintain code integrity and collaborate with teammates effectively.

Talk about your commitment to continuous learning, such as following industry news, participating in webinars, and engaging in professional development courses. Mention any specific areas of technology you are particularly focused on or interested in exploring further.

Share your insights on working effectively in remote or hybrid setups, highlighting communication tools you use, strategies for ensuring productivity, and methods for building relationships with team members despite physical distance.

Highlight your understanding of data quality as fundamental in any database development project. Discuss how you implement data validation checks, monitor for anomalies, and establish standards to ensure that the data is accurate and reliable.

Explain your mindset toward flexibility in project work, providing examples of past experiences where requirements changed. Discuss your strategies for remaining adaptable, including open communication with stakeholders and iterative development practices to accommodate changes.