Job Description
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Experience with AWS cloud services: EC2, EMR, RDS, Redshift
Experience with stream-processing systems: Storm, Spark-Streaming, etc.
Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.
Experience with microservice architecture, and design.
Experience on machine learning toolkits like spark mllib, H20, scikit-learn, R and ML techniques.
Strong command with machine learning libraries such as PyTorch and Tensorflow and knowledge of common integration patterns for serving inference with them.
Proven track record of building and optimizing data sets, big data data pipelines and architectures
Excellent problem solving and analytic skills associated with working on unstructured datasets
Experienced in delivering real data feedback loops and streams for supporting highly available and scalable solutions with large transaction volume on a 24x7 operational cycle
Employement Category:
Employement Type: Full time
Industry: Engineering & Design
Functional Area: IT
Role Category: Software Engineer
Role/Responsibilies: data Engineer
Contact Details:
Company: T & M Services
Location(s): Mumbai