Software Engineer, Backend - job 2 of 2

As a Software Engineer, Backend at Tatari, your primary responsibilities will include designing, building, and maintaining data pipelines that support our reporting and measurement efforts. You'll ensure the reliability and scalability of our data systems while optimizing data storage, processing, and retrieval infrastructure. Collaboration with cross-functional teams will also be key as you gather data requirements and provide necessary tools to enhance our operational capabilities.

Candidates applying for the Software Engineer, Backend position at Tatari should have a minimum of 5 years of experience in data architecture, data modeling, and building scalable data pipelines. Proficiency in modern data stacks and cloud platforms like AWS is essential, along with experience in SQL as well as other programming languages pertinent to data engineering. Strong analytical and communication skills are also crucial for this role.

A Software Engineer, Backend at Tatari should have experience with technologies such as Kafka, Spark, Airflow, and cloud data warehouses like RedShift and Snowflake. Familiarity with database technologies, data processing frameworks, and microservices is also highly valued. Moreover, being comfortable with programming languages including Python, Java, or Scala will further enhance your contribution to our team.

Tatari believes in supporting the professional growth of employees by providing annual education benefits of up to $1,000, along with mentorship opportunities for junior team members. We encourage continuous learning and exploration of new technologies to keep our workforce at the cutting edge of the industry.

At Tatari, the company culture is all about inclusivity and collaboration. As a Software Engineer, you'll be part of a diverse team that values everyone’s contributions and celebrates different perspectives. We offer a dynamic work environment that supports work-life balance and fosters professional relationships through team-building events and activities.

In answering this question, highlight specific examples where you've built and maintained data pipelines, emphasizing your role in designing the architecture, managing ETL processes, and optimizing for performance. Mention any technologies you used, such as Apache Spark or Airflow, and talk about the challenges you faced and how you overcame them.

Discuss methods like implementing monitoring systems, proactively identifying bottlenecks, and optimizing database configurations. You might also mention best practices such as load testing and routine maintenance to assure system reliability under different scales of data ingestion.

Focus on the steps you took to identify the issue, such as analyzing logs or using debugging tools. Explain the solution you implemented and the immediate results. This showcases your problem-solving abilities and analytical skills, which are key for a role at Tatari.

Describe your hands-on experience with relational databases, such as PostgreSQL or MySQL, along with any NoSQL databases you've used, like MongoDB. Share examples of projects where you chose one over the other based on data structure, scalability needs, or performance requirements.

Talk about specific instances where you've worked closely with data scientists or analysts to understand their data needs. Emphasize your communication skills and how you translated complex technical requirements into actionable plans that benefited the entire team.

Mention trends such as real-time data processing, the use of machine learning for data analytics, or advancements in cloud storage technologies. Share how you've integrated these trends into your work and how you envision their impact on the advertising tech landscape.

Discuss your experience in creating data models to support efficient data storage and retrieval. Provide examples of how you designed schemas and the methodologies you used, such as dimensional modeling or STAR schema, to optimize data handling.

Illustrate your mentoring approach by sharing how you provide guidance, technical oversight, and share resources with junior engineers. Highlight projects where mentoring played a crucial role in developing your team’s skills and capabilities.

Explain your preferred approaches for extracting, transforming, and loading data. Share project experiences where you deployed ETL methodologies effectively, mentioning specific tools like Apache Nifi or Talend if applicable.

Discuss strategies like attending industry conferences, participating in webinars, engaging in online courses, or reading relevant technical blogs and articles. Showcase your commitment to lifelong learning and how it benefits your work at Tatari.