Senior Data Engineer (DataBricks)

As a Senior Data Engineer at Softeta, you will be responsible for designing and maintaining data pipelines, developing ETL processes, and optimizing database performance. You will also automate data processing workflows with tools like Airflow, engage in data modeling and cleansing, and implement data quality and governance processes. Your role will emphasize advocating for data and leveraging it to unlock business value.

To qualify for the Senior Data Engineer role at Softeta, candidates should have over 4 years of experience in data engineering, strong programming skills in Python and SQL, and be familiar with Azure services such as Data Factory and Databricks. It's also beneficial to have experience with Apache Airflow, CI/CD principles, and cloud environments like AWS or GCP. Certifications in Azure would be a plus.

The technology stack for the Senior Data Engineer role at Softeta includes MS SQL, Azure Data Factory, Azure Data Lake Storage, Azure Databricks, and Airflow. You will also work with Python to automate workflows and optimize data processing operations. This diverse stack enables you to engage with various modern data engineering practices and solutions.

Yes, the Senior Data Engineer position at Softeta offers a remote workplace model, providing you the flexibility to work from anywhere. This allows you to maintain a work-life balance while contributing to innovative data projects with a talented team.

Softeta offers a competitive salary range for the Senior Data Engineer position, from 4000 to 6000 EUR before taxes. For contractors, the hourly rate ranges between 30 to 40 EUR. This structure ensures that skilled professionals are well-compensated for their expertise and contributions.

When preparing to answer this question, highlight specific projects where you've utilized Azure Data Factory for ETL processes or data integration tasks. Discuss how you used Databricks, including any frameworks or architectures you've implemented. Provide examples of the impact your work had on data processing efficiency.

For this question, explain your strategies for database optimization, such as indexing, query optimization, and data structure design. You can also mention any tools or methodologies you use to monitor database performance and make continuous improvements.

Share specific Python libraries or frameworks you are proficient in, such as Pandas for data manipulation, or PySpark for distributed data processing. Discuss projects where your Python skills directly contributed to successful data engineering outcomes.

When answering, discuss your approach to data cleansing, including common techniques and tools you utilize. Provide examples of how you ensure high data quality within your projects, including data validation and governance processes.

Talk about your familiarity with Apache Airflow, specifically how you’ve used it to automate workflows. Discuss the types of tasks you orchestrated and the challenges you overcame. Highlight the benefits of using Airflow in your projects.

Clarify your understanding of these architectures and how they facilitate efficient data handling and processing. Use examples from your experience to demonstrate how you've implemented such architectures in previous roles to support data workflows.

Prepare to discuss specific migration projects you've worked on, focusing on challenges such as data integrity, downtime minimization, and tooling. Provide insights into how you overcame these challenges and the strategies you employed.

Discuss your methods for implementing data governance, including establishing data ownership, maintaining data lineage, and adhering to compliance standards. Share examples of how you've successfully managed these aspects in past projects.

Explain how you participate in Agile ceremonies such as sprint planning and daily stand-ups. Share your experiences in collaborative teamwork to achieve project objectives efficiently and how you adapt to changing priorities.

Tailor your response to express genuine interest in Softeta's innovative projects and culture. Mention how your skills align with the company's mission, and convey your enthusiasm for contributing to cutting-edge data solutions that create real-world impact.