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Visa

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3.5

based on 359 Reviews

Video summary

118 Visa Jobs

Sr. Data Engineer

Visa Inc

3.5

based on 359 Reviews

2-7 years

₹ 18.1 - 26L/yr (AmbitionBox estimate)

Bangalore / Bengaluru

1 vacancy

Sr. Data Engineer

Visa

posted 14hr ago

Job Role Insights

Flexible timing

Key skills for the job

Python SQL Machine Learning Clinical Data Management Risk Management Data Modeling

+ 3 more

Job Description

This is a great opportunity to work with a new Engineering and MLOps team to scale and structure large scale data engineering and ML/AI that drives significant revenue for Visa. As a member of the Risk and Identify Solutions modeling organization (VPM), your role will involve developing and implementing practices that will allow deployment of machine learning models in large data science projects.
You must be a hands-on expert able to navigate both data engineering and data science disciplines to build effective engineering solutions that support ML/AI models. You will partner closely with global stakeholders in RaIS Product, VPM Data Science and Visa Research to help create and prioritize our strategic roadmap. You will then leverage your expert technical knowledge of data engineering, tools and data architecture in the design and creation of the solutions on our roadmap.
The position is based at Visas offices in Bangalore, India.

Essential functions

Team members working for this role deploy, manage, and optimize data pipelines and machine learning models in production environments, ensuring smooth integration and efficient operations. The team also takes a data scientist s model and make it accessible to the software that utilizes it. The essential functions of this role include:

ETL processes: The role also involves developing and executing large scale ETL processes to support data quality, reporting, data marts, and predictive modeling.
Spark pipelines: The role requires building and maintaining efficient and robust Spark pipelines to create and access data
AWS Services: Knowledge of various AWS services like Redshift, RDS, DynamoDB, EMR, S3, Glue, Kinesis, and Data Pipeline is crucial.
Programming Languages: Proficiency in languages such as Python, Java, or Scala.
ETL Tools: Familiarity with ETL (Extract, Transform, Load) tools and processes.
SQL and NoSQL Databases: Comfortable working with both SQL and NoSQL databases.
Data Modeling: Understanding of data modeling and structures, metadata, schema, and distributed storage.
Data Management: Ability to preprocess and clean data, analyze and visualize it, which often requires knowledge of SQL and tools like Hadoop or Spark.
Big Data Tools: Familiarity with big data platforms like Hadoop, Spark, and Hive.
DevOps Tools: Knowledge of CI/CD pipeline, version control systems like Git, and container tools like Docker.
Problem-Solving Skills : Strong analytical and problem-solving skills are essential.
Collaboration with Technology teams: The role involves working with Data Science teams, Visa Research, and other Technology teams to leverage and provide feedback on ML systems and tools.
Communication Skills: Ability to communicate complex data insights in a clear and understandable manner to stakeholders.
Technical documentation and innovation: The role requires defining and building technical and data documentation, using code version control systems, ensuring data accuracy and consistency, and suggesting new ideas for innovation

Skills which are plus to have:

Understanding of AWS services: Familiarity with AWS services such as S3, EC2, Lambda, and more importantly, AWS machine learning services like SageMaker, Rekognition, etc

Machine Learning Algorithms: Proficiency in a variety of machine learning algorithms and models like linear/logistic regression, random forest, boosting, neural networks etc

Deep Learning Frameworks: Familiarity with deep learning frameworks such as TensorFlow, PyTorch, Keras, etc

DevOps Tools: Understanding of MLOps tools and practices, CI/CD pipeline, version control systems (like Git), and containerization tools (like Docker)

Basic Qualifications
2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience

Preferred Qualifications
3 or more years of work experience with a Bachelor s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)

Employment Type: Full Time, Permanent

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