We are looking for a Senior Associate to play an essential role in designing, developing, and maintaining scalable data pipelines and data infrastructure. The ideal candidate should have strong analytical skills and the ability to combine data from different sources.
Requirements
- Proficiency in Python and SQL; experience with Scala or Java is a plus.
- Strong experience with Apache Spark, Apache Kafka, and other data processing frameworks.
- Experience deploying machine learning models using TensorFlow Serving, MLflow, or similar tools.
- Familiarity with data lakes and data warehouses (AWS S3, Google BigQuery, Snowflake).
- Experience with cloud platforms (AWS, GCP, Azure) and containerization tools like Docker and Kubernetes.
- Understanding of machine learning workflows and collaboration with data scientists and ML engineers.
- Strong knowledge of ETL processes, batch and real-time data processing, and orchestration tools (e.g., Apache Airflow).
Benefits
- Competitive salary
- Opportunities for growth and development
- Collaborative and inclusive work environment