Role - Spark Scala Developer

Required Technical Skill - Spark ,PySpark, Python, Hive, Scala, Unix shell scripting

Desired Experience Range - 5+years

Location of Requirement - Pan India

Must-Have

Roles and Responsibilities:

Enhance Machine Learning Models using PySpark or Scala

Work with Data Scientists to Build ML Models based on Business Requirements and Follow ML Cycle to Deploy them all

the way to Production Environment

Participate Feature Engineering, Training Models, Scoring and retraining

Architect Data Pipeline and Automate Data Ingestion and Model Jobs

Skills and competencies:

Required:

Strong analytical skills in conducting sophisticated statistical analysis using bureau/vendor data, customer performance

Data and macro-economic data to solve business problems.

Working experience in languages PySpark & Scala to develop code to validate and implement models and codes in

Credit Risk/Banking

Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture.
Familiarity with machine learning frameworks and libraries (like scikit-learn, SparkML, tensorflow, pytorch etc.
Experience in systems integration, web services, batch processing
Experience in migrating codes to PySpark/Scala is big Plus
The ability to act as liaison conveying information needs of the business to IT and data constraints to the business

applies equal conveyance regarding business strategy and IT strategy, business processes and work flow

Flexibility in approach and thought process
Attitude to learn and comprehend the periodical changes in the regulatory requirement as per FED

Developer