The company is looking to enhance, design, and deliver software components of its technology products in a secure, stable, and scalable way.
Requirements
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experienced in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Strong development skills in Java, Python, or Scala
- Knowledge of data preprocessing, ETL processes, and data pipeline creation
- Experienced with data storage solutions, including SQL, NoSQL databases (Cassandra), Data Lakes, and S3
- Proficiency in using cloud services like AWS EMR, EKS, EC2, and S3 for deploying and managing Machine Learning models
- Familiarity with logging and monitoring tools such as Kibana, Splunk, Elastic Search, Dynatrace, AppDynamics, Grafana, CloudWatch, and Datadog
Responsibilities
- Works on Data storage solutions(Data Lakes, Data mesh, Snowflake, S3, Data Pond)
- Experience with data preprocessing, Feature Engineering , ETL (Extract Transform Load) process and data pipeline creation
- Frequently uses SQL and understands NoSQL databases (Cassandra) and graph Databases(Tigergraph)
- Collaborate effectively with data scientists, engineers, and other stakeholders, and a willingness to stay updated with the latest trends in ML and MLOps
- Develops, debugs, and maintains code in a large corporate environment
- Deploys, scales, and manages ML models in production environments, optimizing for performance and cost-efficiency
- Diagnoses and resolves issues in Machine Learning pipelines and production systems
Other
- Formal training or certification on software engineering concepts and 2+ years applied experience
- Adds to team culture of diversity, equity, inclusion, and respect
- Collaborate effectively with data scientists, engineers, and other stakeholders
- Competitive total rewards package including base salary determined based on the role, experience, skill set and location
- Comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more
