Senior Data Engineer

Senior Data Engineer to join a forward-thinking software consulting company specializing in innovative software and data solutions.

Requirements

• Excellent communication skill, specifically fluent verbal English is mandatory to explain complex technical concepts to non-technical stakeholders and collaborate across teams.
• Proven experience as a Data Engineer, with hands-on experience building and managing data pipelines.
• Strong proficiency in cloud technologies, specifically AWS (e.g., S3, Redshift, Glue) and Azure (e.g., Data Lake, Azure Synapse).
• Experience working with containerization and orchestration tools such as Docker and Kubernetes.
• Proficient in data engineering programming languages, such as Python, Java, or Scala.
• Solid experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra).
• Familiarity with data processing frameworks like Apache Spark, Apache Kafka, or similar tools.
• Experience with workflow orchestration tools like Apache Airflow, DBT, or similar.
• Knowledge of data warehousing concepts and technologies (e.g., Snowflake, Amazon Redshift, or Google BigQuery).
• Strong understanding of ETL/ELT processes and best practices.
• Experience with version control systems like Git.
• Strong problem-solving skills and a proactive approach to troubleshooting and optimization.

Benefits

• Competitive salary
• Flexible payment method
• Opportunities for growth and professional development
• Flexible working hours
• Full remote work opportunity
• Work in a collaborative, innovative and inclusive environment
• Be a part of a data-driven culture that is at the forefront of innovation

Tagged as: BigQuery, Data Analysis, Python, Snowflake, SQL