Building Scalable Data Solutions

3 days ago

Bengaluru, Karnataka, India beBeeDataEngineer Full time US$ 98,240 - US$ 1,54,020
Job Title: Senior Data Engineer

We are seeking a highly skilled and experienced Senior Data Engineer to join our team. As a key member of our data engineering group, you will play a critical role in designing, developing, and maintaining scalable data pipelines and data infrastructure.

**Key Responsibilities:**
  • Design and build scalable data pipelines that facilitate the flow of data into machine learning models.
  • Collaborate with data scientists to ensure the availability of high-quality, preprocessed data for model training.
  • Deploy machine learning models to production using tools such as TensorFlow Serving, MLflow, or Seldon.
  • Monitor and maintain the performance of machine learning models in production, identifying and addressing issues like data drift or concept drift.
  • Work with large datasets, both batch and real-time, using frameworks like Apache Spark, Apache Kafka, and AWS Glue.
  • Implement and manage data versioning and experiment tracking using tools like DVC and MLflow.

**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)

**What We Offer:**
  • A dynamic and supportive work environment.
  • Opportunities for growth and professional development.
  • A competitive salary and benefits package.

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