Summary
✨ AI‑Generated
We seek a Senior Python Data Engineer to build and maintain robust data pipelines using Python, Airflow, and Spark. Responsibilities include migrating data between storage platforms, creating ETL/ELT processes, performing data cleansing and quality checks, and optimizing storage and retrieval for performance. Strong programming skills and experience with data engineering tools are required.
Highlights
Senior Python Data Engineer to design, develop, and maintain scalable data pipelines, migrate data between storage systems, implement ETL and Spark jobs, and ensure data integrity through cleansing and transformation, collaborating with cross‑functional teams.
Description
We seek a skilled Python Data Engineer to join our team and help us build and maintain our data pipelines.
As a Python Data Engineer, you will be responsible for designing, developing, and testing Python-based data pipelines and performing data cleansing, transformation and quality assurance.
Responsibilities
Design, develop, test and maintain Python-based data pipelinesWrite high-quality and maintainable Python code to migrate data between different storage systems with modificationsCreate ETL jobs, airflow operators, and Spark jobs to enhance data processing capabilitiesImplement Data Intake processes for Data Sources (ETL/ELT, DWH Modelling and Optimization)Perform data cleansing, transformation and quality assurance to maintain data integrityOptimize data processing, storage and retrieval to improve performanceCollaborate closely with cross-functional teams to ensure data accuracy and consistency
Requirements
In-depth learning of Python programming with the ability to write maintainable and scalable codeStrong understanding of distributed computation and multiprocessingKnowledge of data warehouse concepts and ETL processesProficiency in working state machines, web back-end development, networking and protocolsExperience with cloud computing platforms, such as AWS or GCP, and tools like Step Functions, BatchKnowledge of Spark, Hive, Databricks and other data processing frameworksFamiliarity with data orchestration tools like AirflowExpertise in with SQL, NoSQL and cloud-based data storage solutions
We offer
We connect like-minded people:Delivering innovative solutions to industry leaders, making a global impactEnjoyable working environment, whether it is the vibrant office or the comfort of your own homeOpportunity to work abroad for up to two months per yearRelocation opportunities within our offices in 55+ countriesCorporate and social eventsWe invest in your growth:Leadership development, career advising, soft skills and well-being programsCertifications, including GCP, Azure and AWSUnlimited access to EPAM's internal learning databaseFree English classes with certified teachersWe cover it all:Monetary bonuses for engaging in the referral programMedical & family care packageSix trust days per year (sick leave without a medical certificate)Coverage of psychology sessions of your choiceDiscounts for fitness clubs and sports programsBenefits package (sports activities, a variety of stores and services)
EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups.
With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.
Experience the freedom of remote work from anywhere in Kyrgyzstan, whether it's the comfort of your home or our modern office in Bishkek.
