Senior Data Engineer

About the role

We’re looking for a Senior Data Engineer to support the design, development, and optimization of data solutions for a high‑impact enterprise initiative. The role is ideal for someone with strong hands‑on experience in data processing, transformation, and validation, who thrives in building reliable and well‑structured datasets for analytics and business workflows.

Key responsibilities

• Design, develop, and maintain data pipelines to ingest, transform, and normalize data from multiple sources.
• Lead the design and implementation of data ingestion architectures in Snowflake, ensuring scalability and reliability.
• Apply best practices in data validation to ensure accuracy, consistency, and reliability across datasets.
• Perform data transformation and normalization to support analytics and reporting use cases.
• Work with large datasets using SQL and Python to process and analyze data efficiently.
• Ensure data quality by implementing validation rules, checks, and monitoring processes.
• Collaborate with business and technical stakeholders to understand data requirements and translate them into scalable solutions.
• Support ETL processes and file handling workflows for structured and semi‑structured data.
• Contribute to documentation and continuous improvement of data processes and standards.

Required profile

• 4+ years of experience in Data Engineering or Data Analytics roles with a strong engineering focus.
• Strong hands‑on experience with Snowflake.
• Proficiency in Python for data processing and transformation.
• Expertise in SQL and working with large‑scale datasets.
• Proven experience in data validation, transformation, and normalization.
• Experience building and maintaining ETL pipelines and handling data ingestion workflows.
• Strong attention to detail with a focus on data quality and reliability.
• Ability to work in cross‑functional environments and communicate effectively with stakeholders.

Required skills

• Snowflake
• Python
• SQL
• ETL pipelines
• Data validation
• Data transformation
• Data normalization

What we offer

• Learning opportunities: certifications in AWS, Databricks, Snowflake, AI learning paths, Udemy Business courses, and English lessons.
• Travel opportunities to attend industry conferences and meet clients.
• Mentoring and career development programs.
• Celebrations and support for personal milestones, company‑provided equipment.
• Flexible working options.