VS01696 - Python AWS Developer

E4 Software Services Pvt Ltd.; India; Presencial; PHP 900.000 - 1.700.000; Jornada completa

Descripción de la vacante

E4 Software Services Pvt Ltd. is seeking a senior data engineer with 6+ years of experience to design and maintain scalable data pipelines using PySpark and AWS Databricks. You will transform structured and unstructured data, implement production-grade code, and ensure best practices for data quality, security, and governance.

Expertise in PySpark, Spark clusters, SQL, AWS S3, and cloud-native architectures is required, along with CI/CD for data pipelines and performance tuning.

Formación

• 6+ years of professional experience in software industry.
• Strong hands-on expertise in PySpark for distributed data processing and transformation.
• Proven experience with Python programming, including implementing reusable, production-grade code.
• Practical knowledge of AWS Databricks for building and orchestrating large-scale data pipelines.
• Demonstrated experience in processing structured and unstructured data using Spark clusters and cloud data platforms.
• Ability to apply data engineering best practices including version control, CI/CD for data pipelines, and performance tuning.

Conocimientos

PySpark

Python

Databricks

Apache Spark

Data pipelines

CI/CD for data pipelines

Performance tuning

SQL

AWS S3

EC2

Cloud-native data architectures

Data security & governance

ETL scripting

Big data ecosystems

Herramientas

Databricks

Apache Spark

CI/CD tools

AWS S3

EC2

Descripción del empleo

· 6+ years of professional and relevant experience in software industry.

·Strong hands-on expertise in PySpark for distributed data processing and transformation.

· Proven experience with Python programming, including implementing reusable, production-grade code.

· Practical knowledge of AWS Databricks for building and orchestrating large-scale data pipelines.

· Demonstrated experience in processing structured and unstructured data using Spark clusters and cloud data platforms.

· Ability to apply data engineering best practices including version control, CI/CD for data pipelines, and performance tuning.

Preferred Skills:

· Working knowledge of SQL for data querying, analysis, and troubleshooting.

· Experience using AWS S3 for object storage and EC2 for compute orchestration in cloud environments.

· Understanding of cloud-native data architectures and principles of data security and governance.

· Exposure to BFSI domain use cases and familiarity with handling sensitive financial data.

· Familiarity with CI/CD tools and cloud-native deployment practices.

· Familiarity with ETL scripting and data pipeline automation.

· Knowledge of big data ecosystems and distributed computing.