Senior Data Engineer

We are looking for a Senior Data Engineer to lead the design, development, and optimization of enterprise data pipelines and analytical data solutions within a modern cloud data lakehouse environment.

The role requires strong hands-on experience in Snowflake, ETL/ELT, complex SQL, data transformation, and Medallion Architecture (Bronze, Silver, and Gold).

The successful candidate will build scalable batch and near real-time data pipelines, ensure data quality and governance, optimize data workloads, and support analytics, reporting, and advanced data use cases.

Key responsibilities

• Lead the end-to-end technical delivery of complex data engineering and analytics solutions, ensuring scalability, reliability, and alignment with business requirements.
• Design, develop, and optimize batch and near real-time data pipelines supporting enterprise reporting, BI, and advanced analytics.
• Design and implement data solutions using Lakehouse/Medallion Architecture, including Bronze, Silver, and Gold data layers.
• Develop and optimize ETL/ELT and data transformation processes, including data ingestion, cleansing, validation, enrichment, and transformation logic.
• Design and maintain analytical data models, including dimensional modeling and Star Schema.
• Develop and optimize complex SQL queries and data processing workloads for performance and scalability.
• Work with Snowflake and cloud data platforms to build, optimize, and troubleshoot data solutions.
• Assess source systems and data quality, implementing appropriate data validation, controls, and transformation rules.
• Partner with business and technical stakeholders to translate requirements into technical designs, estimates, and delivery plans.
• Conduct code and design reviews to ensure maintainability, quality, performance, and adherence to engineering standards.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• 5+ years of hands-on experience in Data Engineering, preferably in an enterprise environment.
• Minimum 2 years of hands-on experience with Snowflake, including data loading, transformation, optimization, and troubleshooting.
• Hands-on experience with Lakehouse/Medallion Architecture, specifically Bronze, Silver, and Gold data layers/zones.
• Strong hands-on experience in ETL/ELT and data transformation, including data cleansing, validation, enrichment, transformation logic, and optimization.
• Strong proficiency in complex SQL, including query optimization and performance tuning.
• Experience with dimensional data modeling and Star Schema.
• Experience developing and supporting batch and near real-time data pipelines.
• Hands-on experience with cloud-based data platforms, preferably Azure and Snowflake.
• Strong communication and presentation skills, with the ability to translate business requirements into technical solutions.