Data Engineer

• 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.

• 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 and ability to collaborate with technical and non-technical stakeholders.
• Fluent English (B2) with both written and spoken skills used for clear and active communication with native speakers
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.)

• Compensation Package
• Vacation leave of 20 working days
• 4 sick days per year
• Personal Growth
• Career and professional growth
• Access to senior engineers for help and mentorship
• English classes with on-staff teachers
• English clubs where you can polish your skills together with teammates
• Other Perks
• Possibility for working remote or in coworking space
• Macbook provided by company as a working environment
• Work environment based on collaboration and teams
• Team building events on team and group level
• Sponsored company outings and social events

Originally posted on Himalayas