Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in securing the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description:

We are looking for a Senior Data Engineer to join our dynamic team.

What You Will Work On:

• Designing and implementing scalable ETL processes to support data transformation and integration tasks.
• Building and maintaining robust data pipelines from diverse sources using technologies such as Apache Spark and Hadoop.
• Developing and optimizing data warehouse solutions for efficient data retrieval and analysis.
• Collaborating with cross-functional teams to understand data requirements and deliver tailored solutions.
• Utilizing cloud platforms (AWS/GCP/Azure) for deploying and managing data infrastructure.
• Implementing containerization strategies (Kubernetes, PBS) to ensure scalability and reliability of data systems.
• Monitoring data quality and performance, troubleshooting issues, and ensuring data integrity across all processes.
• Contributing to the continuous improvement of data engineering best practices and standards.

What You Bring:

• 5+ years of hands-on experience in data engineering with a focus on ETL processes, data warehousing, and big data technologies.
• Proficiency in programming languages such as Python for data manipulation and automation.
• Strong understanding of Unix/Linux environments and shell scripting for system integration tasks.
• Experience with version control and CI/CD tools (GitLab, Gerrit, Jenkins) for software development workflows.
• Knowledge of database systems including Relational (SQL) and NoSQL databases for data storage and retrieval.
• Familiarity with data engineering tools such as Apache Spark, Hadoop, and workflow management tools like Airflow.
• Ability to work effectively in a fast-paced environment, adapt to changes, and prioritize tasks to meet deadlines.
• Excellent problem-solving skills with a proactive approach to identifying and resolving data-related issues.
• Effective communication and interpersonal skills for collaborating with team members and stakeholders.
• Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent practical experience.