Junior Data Engineer – Data Team

Verified Job On Employer Career Site

Job Summary:

Visa is a world leader in payments and technology, seeking a Staff Data Engineer to build and maintain MLOps pipelines and high performing ETL processes. The role involves developing Deep Learning methodologies and ensuring data accuracy and consistency across various data sources.

Responsibilities:

• Build MLOps pipelines to support model development, model production, model validation, model performance monitoring, model recalibration, continuous integration, and continuous delivery of Al/ML models.

• Responsible for new model development and existing model re-training, performance evaluation and score optimization.

• Design, develop, and implement Deep Learning methodologies, and newer ML model implementations at scale.

• Build and maintain high performing ETL processes including data quality and testing aligned across technology, internal reporting and other functional teams.

• Build ETL pipelines in Spark, Python, HIVE or Scala that process transaction and account level data and standardize data fields across various data sources.

• Create data dictionaries, setup/monitor data validation alerts and execute periodic jobs like performance dashboards, predictive models scoring for client's deliverables.

• Define and build technical/data documentation.

• Ensure data accuracy, integrity and consistency.

Qualifications:

Required:

• Master’s degree in Computer Science, Engineering, Data Science, Business Analytics, or related field and 2 years of experience in the job offered or in a data engineer-related occupation.

• Alternatively, employer will accept a Bachelor's degree in Computer Science, Engineering, Data Science, Business Analytics, or related field, followed by 5 years of progressive, post-baccalaureate experience in the job offered or in a data engineer-related occupation.

• Experience in Deep Learning techniques.

• Experience in Federated learning and transfer learning.

• Programming in Spark, Python, HIVE, SQL, Presto and Scala.

• Working with Airflow and GitHub for building and maintaining ETL pipelines.

• Experience with Linear & Logistic Regression, Decision Trees, XG Boost, Random Forests, K-Nearest Neighbors, Markov Chain, Monte Carlo, Gibbs Sampling, Evolutionary Algorithms, and Support Vector Machines.

• Advanced data mining and statistical modeling techniques, including Predictive modeling, Classification techniques, and Decision Tree techniques.

• Working with large scale data ingestion, processing and storage in distributed computing environments or big data platforms (Hadoop) as well as common database systems and value stores (Parquet, Avro, or HBase).

• Linux or Shell Scripting.

• Working in building and integrating the code in the defined CI/CD framework using Git.

• Working and onboarding machine learning models to the MLOps framework.

• Maintenance and performance monitoring as part of the MLOps lifecycle using industry best practices and tools (MLflow, and Evidently).

• Experience with data visualization techniques and common industry data visualization tools: Tableau, PowerBI, and JS visualization libraries (D3.js).

Company:

Visa is a multinational financial services company that facilitates electronic payment systems throughout the world. Founded in 1958, the company is headquartered in Foster City, California, USA, with a team of 10001+ employees. The company is currently Public Company. Visa has a track record of offering H1B sponsorships.