What are the responsibilities and job description for the Sr. Data Engineer (Python, SQL, AWS) position at InnoCore Solutions, Inc.?
Job Details
Responsibilities:
- Design, develop, and maintain scalable ETL/ELT pipelines on AWS using services such as Lambda, S3 and ECS/Fargate
- Build, optimize, and manage datasets within Snowflake, including schema design, data modeling and performance tuning.
- Implement CI/CD pipelines using Jenkins, ensuring reliable deployment of data workflows, transformation code and infrastructure.
- Write and maintain automated testing scripts (unit tests, data validation tests, regression tests) to ensure data quality and pipeline resiliency.
- Partner with analytics, engineering, and product teams to translate business needs into high-quality technical data solutions.
- Monitor and improve pipeline performance, optimizing for scalability, cost efficiency and stability.
- Establish and maintain best practices for data governance, lineage, security and documentation.
Requirements:
- 5 years of solid programming skills in Python (preferred) or similar languages for ETL, automation and testing.
- 5 years of strong experience in AWS cloud services and hands-on experience building production data pipelines.
- Deep proficiency in Snowflake, including SQL, Snowpipe, Streams/Tasks and performance tuning.
- Experience with Jenkins and CI/CD workflows for deploying and managing data applications.
- Strong knowledge of data modeling, transformation frameworks, and managing both structured and semi-structured data.
- Experience writing and maintaining automated tests for data pipelines and transformations.
- Ability to work collaboratively with cross-functional teams and communicate effectively with both technical and non-technical partners.
- Experience with streaming technologies (Kafka, Kinesis) is preferred.
- Understanding of ML pipeline support or feature store design is preferred.
Education:
- Bachelor's degree in Computer Science/Engineering or related field
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