Senior Data Platform Engineer: Spark, Pipelines & Cloud

EPAM Systems; Turkey; On-site; TRY 5,914,000 - 8,871,000; Full time

Benefits offered by this job

Continued upskilling

Learning & development programs

Mentoring and leadership development

Private health insurance

Job summary

EPAM Systems, Inc. is seeking a hands-on Senior Data Software Engineer in Turkey to design and implement large-scale data pipelines using Spark, Kafka and Airflow while ensuring reliability and scalability across the data infrastructure.

You will collaborate with data architects and cross-functional teams, produce comprehensive technical documentation, and drive SDLC best practices. Excellent English communication is required, with opportunities for continuous learning and development.

Qualifications

• At least 3 years of experience in Data Software Engineering with a focus on large-scale distributed systems.
• Strong command of Python and SQL.
• Significant hands-on background with Apache Spark, Kafka, and Airflow.
• Working knowledge of major cloud platforms (AWS, Azure, or GCP).
• Familiarity with Databricks or Snowflake is a plus.
• Hands-on expertise in tuning Apache Spark job performance.
• Self-driven, able to work independently, and comfortable managing multiple projects efficiently.
• Strong communication abilities with English proficiency at B2+ level.

Responsibilities

• Build and implement reliable data ingestion solutions and pipelines leveraging Cloud Native and Big Data technologies.
• Oversee the entire technical stack, covering configuration management, monitoring, debugging, and performance optimization.
• Create and sustain scalable data pipelines that support efficient data processing and analysis.
• Work closely with cross-functional teams and data architects to gather business requirements and convert them into technical specs.
• Drive code reviews and testing efforts to uphold quality standards and SDLC best practices.
• Produce and update thorough technical documentation across data engineering projects to support transparency and knowledge transfer.
• Diagnose and fix data-related issues quickly and effectively, ensuring solutions remain high-quality, dependable, and scalable.

Skills

Apache Spark

Python

SQL

Kafka

Airflow

Distributed systems

SDLC

Agile

English (B2+)

Tools

Databricks

Snowflake

AWS

Azure

GCP

Job description

EPAM Systems, Inc. is seeking a hands-on Senior Data Software Engineer in Turkey to design and implement large-scale data pipelines using Spark, Kafka and Airflow while ensuring reliability and scalability across the data infrastructure.

You will collaborate with data architects and cross-functional teams, produce comprehensive technical documentation, and drive SDLC best practices. Excellent English communication is required, with opportunities for continuous learning and development.