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Senior Data Platform Engineer (Databricks)

Senior Data Platform Engineer (Databricks)

EPAM SystemsMadrid, Madrid, SPAIN
Hace 18 horas
Descripción del trabajo

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We are seeking an experienced Senior Data Platform Engineer with a profound expertise in Databricks and multi-cloud environments to join EPAM.

In this role, you'll engineer scalable, high-performance data solutions that unlock the full potential of data for our Fortune 1000 clients. If you thrive in building data platforms from scratch and driving innovations across cloud platforms, this opportunity at EPAM could be perfect for you.

Responsibilities

Architect and deploy robust, scalable, and secure data platforms using Databricks, ensuring optimal performance and security

Create cloud-agnostic solutions across AWS, Azure, and GCP to ensure flexibility and system resilience

Design and implement end-to-end data pipelines integrating data lakes, warehouses, and streaming frameworks

Leverage Databricks SQL, Delta Lake, MLflow, and advanced Spark optimization techniques for data interaction and performance enhancements

Collaborate with cross-functional teams to implement and maintain workflows based on Databricks following best practices

Develop and maintain CI / CD pipelines specifically tailored for seamless data platform deployment and testing

Set up and manage monitoring, logging, and alerting frameworks to ensure infrastructure health and operational excellence

Optimize compute and storage resources to achieve cost-efficiency without compromising on performance

Troubleshoot and resolve issues related to Databricks and Spark performance

Mentor team members on cluster management, job optimization, and resource allocation within Databricks environments

Ensure adherence to compliance standards and maintain platform security

Drive adoption of advanced capabilities in Databricks like Photon and Graviton instances for improved efficiency

Regularly update and refine existing architectures to meet changing business and technology needs

Requirements

Extensive experience with Databricks, Apache Spark, and distributed data processing systems

Strong programming skills in Python, Scala, and SQL

Proficiency in AWS (specifically S3, IAM, Lambda), Azure, or GCP focusing on data engineering services

Expertise in data architecture principles, including data lakes, lakehouses, and ETL workflows

Hands-on experience with CI / CD tools and infrastructure as code practices (Terraform, CloudFormation preferred)

Familiarity with monitoring and observability frameworks suitable for large-scale data environments

Strong analytical and problem-solving skills

Excellent communication and teamwork abilities

Ability to self-manage and operate effectively in a dynamic environment

Nice to have

Certifications in Databricks, AWS, Azure, or GCP

Knowledge of Kubernetes and containerized deployments for data pipelines

Experience with real-time data streaming frameworks and governance tools

We offer

Private health insurance

EPAM Employees Stock Purchase Plan

100% paid sick leave

Referral Program

Professional certification

Language courses

EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.

Why Join EPAM

WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.

CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.

CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project / Delivery Manager.

STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.

Seniority level Seniority level Mid-Senior level

Employment type Employment type Full-time

Job function Job function Business Development, Information Technology, and Engineering

Industries Software Development and IT Services and IT Consulting

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Senior Data Engineer • Madrid, Madrid, SPAIN