Senior Data Engineer

About the role

We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, build, and operationalize modern data platforms for our customers. You will work closely with internal teams and clients to deliver scalable data pipelines, AI/ML solutions, and analytics capabilities.

Key responsibilities

• Support new and existing customers with data engineering requirements and guide architectural decisions.
• Design, build, deploy, and operationalize complex data solutions using Databricks and modern data engineering technologies.
• Develop and maintain scalable Databricks-based pipelines, ensuring data quality, governance, and security.
• Analyze data sources for suitability in analytics and machine‑learning use cases and implement transformation workflows.
• Troubleshoot and resolve pipeline, system, and production issues across multiple customer accounts.

Required profile

• Minimum 5 years of hands‑on professional experience with Databricks (7+ years ideal).
• Strong background in modern data engineering tools such as Apache Spark, Hadoop, Kafka, and SQL.
• Excellent English communication skills and ability to work directly with customers.
• Availability to overlap with US working hours for up to 50% of the day.

Required skills

• Databricks
• Apache Spark
• Hadoop
• Kafka
• SQL and data warehousing concepts (OLTP, OLAP)
• Cloud platforms (AWS, Azure, GCP)
• Python data‑science libraries (pandas, scikit‑learn)
• Data governance, security, and quality best practices