Data Engineer PythonPySpark

Irving, TX - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Description:

Strong hands-on development experience in Python PySpark and SQL.

Experience building large-scale ETL/ELT pipelines for structured and unstructured data.

Deep understanding of Spark and distributed computing fundamentals (transformations shuffles optimization).

Experience with big data frameworks such as Hadoop and Spark.

Proficiency with Git-based repositories (Bitbucket / GitHub).

Experience working with AWS Azure or GCP environments.

Strong understanding of database design data modeling warehouse schemas (star/snowflake).

Experience with CI/CD automation and pipeline development.

Strong analytical and troubleshooting skills for resolving complex data issues.

Ability to collaborate with cross-functional teams and convert business requirements into technical solutions.

Design develop and maintain robust scalable ETL/ELT pipelines.

Write efficient reusable and scalable code in Python and PySpark for distributed data processing.

Review existing data engineering code and identify opportunities for refactoring or performance improvement.

Implement data validation cleansing reconciliation and quality checks across the data lifecycle.

Collaborate with IT and business stakeholders to understand data requirements and translate them into solutions.

Monitor pipeline performance troubleshoot failures and optimize for latency throughput and cost.

Participate in code reviews enforce coding standards and contribute to engineering best practices.

Build and maintain CI/CD pipelines for testing packaging and deployment of data pipelines.

Ensure data reliability security and consistency across environments.

Work with cloud services and big data platforms to support modern data architecture

Job Description: Strong hands-on development experience in Python PySpark and SQL. Experience building large-scale ETL/ELT pipelines for structured and unstructured data. Deep understanding of Spark and distributed computing fundamentals (transformations shuffles optimization). Exper...