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Data Engineer (Ex-Capital One or Ex-Discover Financial)

Baanyan Software Services, Inc.

Richmond, Virginia • Today

Easy Apply

Full-time

Depends on Experience

Job Details

Skills

Python
PySpark
ETL
Data Pipeline development

Summary

Mody''''s looking for Data Engineers / Software Engineers with strong experience in Python, PySpark, ETL, and data pipeline development for the Capital One. The selected candidates will design, develop, and maintain scalable data processing solutions and support large-scale data engineering initiatives.

<>Need to work on Mody''''s payroll as W2 employee. Ex-Capital One or Discover Financial are mostly prefer.

Responsibilities

Develop and maintain scalable data pipelines using Python and PySpark.
Build and optimize ETL/ELT processes for large datasets.
Develop data ingestion, transformation, and integration workflows.
Work with structured and unstructured data from multiple sources.
Optimize Spark jobs and data processing performance.
Develop reusable and reliable data engineering components.
Troubleshoot pipeline failures and data quality issues.
Collaborate with Data Scientists, Software Engineers, and Business teams.
Participate in Agile development, code reviews, testing, and deployment.

Required Skills

3+ years of experience in Data Engineering or Software Engineering.
Strong programming experience with Python.
Hands-on experience with PySpark / Apache Spark.
Strong understanding of ETL/ELT and data pipeline development.
Experience working with SQL and relational databases.
Experience with data integration and transformation.
Good understanding of software development practices, Git, testing, and CI/CD.
Strong problem-solving and communication skills.

Preferred Skills

Experience with AWS, Azure, or Google Cloud Platform.
Experience with Snowflake, Databricks, Hadoop, Kafka, or Airflow.
Knowledge of cloud-based data platforms.
Experience with Docker and Kubernetes.
Experience working in Agile/Scrum environments.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10280536
Position Id: 9065346
Posted 3 hours ago

Fitment

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Job Details

Skills

Python
PySpark
ETL
Data Pipeline development

Summary

<>Need to work on Mody''''s payroll as W2 employee. Ex-Capital One or Discover Financial are mostly prefer.

Responsibilities

Develop and maintain scalable data pipelines using Python and PySpark.
Build and optimize ETL/ELT processes for large datasets.
Develop data ingestion, transformation, and integration workflows.
Work with structured and unstructured data from multiple sources.
Optimize Spark jobs and data processing performance.
Develop reusable and reliable data engineering components.
Troubleshoot pipeline failures and data quality issues.
Collaborate with Data Scientists, Software Engineers, and Business teams.
Participate in Agile development, code reviews, testing, and deployment.

Required Skills

3+ years of experience in Data Engineering or Software Engineering.
Strong programming experience with Python.
Hands-on experience with PySpark / Apache Spark.
Strong understanding of ETL/ELT and data pipeline development.
Experience working with SQL and relational databases.
Experience with data integration and transformation.
Good understanding of software development practices, Git, testing, and CI/CD.
Strong problem-solving and communication skills.

Preferred Skills

Experience with AWS, Azure, or Google Cloud Platform.
Experience with Snowflake, Databricks, Hadoop, Kafka, or Airflow.
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Experience with Docker and Kubernetes.
Experience working in Agile/Scrum environments.

Dice Id: 10280536
Position Id: 9065346
Posted 3 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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