Senior Python & AWS Data Engineer (PySpark, Databricks)

E4 Software Services Pvt Ltd.; Hinoba-an; On-site; PHP 900,000 - 1,700,000; Full time

Job summary

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.

Qualifications

• 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.

Skills

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

Tools

Databricks

Apache Spark

CI/CD tools

AWS S3

EC2

Job description

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.