Data Engineer
Core
Design and maintain reliable, scalable data pipelines and platforms, improve data quality and availability, and support data-driven solutions using modern cloud and data engineering technologies.
Role type
Senior Data Engineer
Builds
Data lakes, data warehouses, relational databases, and scalable data processing solutions
Domain
Cloud data engineering (AWS)
Deliverable
production ML models
Required skills
Python, SQL, PySpark, DBT, Apache Airflow, PostgreSQL, AWS services (S3, SNS, SQS, Lambda, EMR, Glue, Athena, EC2, VPC), Jenkins, CI/CD, GitHub/Azure DevOps
Preferred skills
Data governance, data quality frameworks, DevOps practices
Technologies
Python, SQL, PySpark, DBT, Apache Airflow, PostgreSQL, AWS, Jenkins, GitHub, Azure DevOps
Responsibilities
Design, develop, and maintain scalable data pipelines and data processing solutions; Build and optimize data workflows; Develop and support data lakes, data warehouses, and relational databases; Monitor and improve data pipeline performance, reliability, and data quality; Support AWS-based data solutions and DevOps practices; Collaborate with technical and business teams, provide production support, and maintain technical documentation
Seniority
Senior, hands-on IC
