Senior Data Engineer

Who we're looking for
As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and storage solutions. You will work closely with product managers, engineers,
and analysts to ensure efficient data workflows and enable data-driven decision-making.

The ideal candidate has a strong background in data engineering, with expertise in AWS and a familiarity with GCP or Azure as a plus.

What you will do

• Design, develop, and maintain scalable ETL/ELT pipelines and data workflows
• Optimize data storage, processing, and retrieval using cloud-based technologies, with a strong focus on AWS
• Work with structured and unstructured data across various databases and data lakes
• Ensure data integrity, security, and compliance with industry standards
• Collaborate with cross-functional teams to define data requirements and support analytics and machine learning initiatives
• Monitor and improve data infrastructure performance, ensuring reliability and scalability
• Implement best practices for data governance, quality, and observability
• Develop and maintain robust data injection processes to ensure seamless data flow across systems
• Design and optimize data models to support analytical and operational use cases.

What should my qualifications be?

• 5+ years of experience in data engineering or a related field
• Strong expertise in AWS data services (e.g., Redshift, Glue, Athena, S3, Lambda, Kinesis, etc.)
• Experience with big data technologies such as Apache Spark, Apache Airflow, or similar tools
• Strong knowledge of SQL and data modeling, schema design.
• Strong hands-on experience in Python
• Knowledge of CI/CD pipelines and infrastructure-as-code (Terraform, CloudFormation) is a plus
• Strong problem-solving skills and ability to work in a fast-paced environment
• Excellent communication skills (English B2+) and ability to collaborate with technical and non-technical stakeholders

Nice to Have

• Experience with real-time data streaming and event-driven architectures.
• Exposure to machine learning workflows and MLOps practices.
• Knowledge of security and compliance standards in data engineering.
• Experience with GCP or Azure is a plus (BigQuery, Databricks, Azure Data Factory, etc.)

Perks

• Competitive compensation
• Remote first work environment
• Paid PTO
• Laptop ownership program

Fixed subsidies/reimbursed expenses for

• Healthcare
• Connectivity
• Wellness

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or taking notes. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.