We are looking for a Senior Data Engineer to join our innovative team! If you're passionate about data engineering, cloud technologies, and big data processing, and have experience working with SQL, Apache Spark, and Databricks, this opportunity is for you!
Key Responsibilities:
* Design, build, and maintain scalable data processing pipelines.
* Implement and manage cloud data storage systems.
* Collaborate with data scientists and analysts to understand data requirements and provide suitable solutions.
* Ensure data quality, integrity, and security.
* Automate data ingestion, cleaning, and transformation processes.
* Monitor the performance of data systems and troubleshoot issues as needed.
* Optimize the performance and scalability of Big Data solutions.
* Work in an agile environment, participating in sprint planning and reviews.
Required Skills & Experience:
* 3+ years of experience in Data Engineering roles.
* Proficiency in Python or SQL.
* Strong SQL skills (Joins, Group By, subqueries, temporary tables).
* Expertise in Apache Spark and Databricks.
* Experience with cloud platforms (Azure).
* Familiarity with data orchestration tools like Azure Data Factory or Databricks Workflow.
* Hands-on experience with DevOps tools (Azure DevOps, Jenkins, etc.).
* Strong critical thinking and problem-solving skills.
* Ability to work individually and in teams towards common goals.
* Fluent English (reading, writing, and conversation).
* Experience working in international & multicultural environments is highly valued.
Nice-to-Have Skills:
* Knowledge of visualization tools such as Power BI or Grafana.
* Experience with Docker and Kubernetes.
* Understanding of Agile methodologies.
* Certifications in cloud technologies or big data.
If you are self-driven, results-oriented, and thrive in fast-paced, dynamic environments, we want to hear from you!
📩 Apply now or reach out for more details!
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