Lead Data Software Engineer (Databricks)

Office in Spain: Málaga, Spain: Madrid

Data Software Engineering

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We are looking for a Lead Data Software Engineer with experience and knowledge in Databricks and open-minded personality, who can join our friendly environment and become a core contributor to our team of experts.

Do you have background and wide experience in Data engineering and strong knowledge in Databricks? Are you an open-minded professional with good English skills? If it sounds like you, this could be the perfect opportunity to join EPAM as a Lead Data Software Engineer.

Responsibilities

Lead a small team of engineers in creating and maintaining scalable data pipelines and architectures
Develop and optimize data models and ETL processes utilizing Databricks alongside other technologies
Implement data quality checks and monitoring frameworks to ensure high data integrity
Stay abreast with emerging data engineering trends and technologies, advocating for the adoption of new tools when beneficial
Troubleshoot and resolve data-related issues efficiently
Conduct code reviews and uphold high standards of code quality
Foster a collaborative and inclusive environment for the team to grow their skills and expertise
Interact with clients, managing expectations and delivering high-quality solutions that meet their needs
Drive innovation by proposing new data strategies and enhancements
Work collaboratively within an Agile framework to meet project timelines and deliverables

Requirements

Hands-on experience with Databricks, including Delta Lake, workflows, Delta Live Tables, deployment, and versioning
Capability to lead a development team of 2-5 engineers
Solid understanding of data architectures and proficient in data modeling, building, and optimizing ETL pipelines with Databricks using external orchestrators like Airflow
Expertise in Spark, using either Scala or PySpark
Knowledge of the software development lifecycle and Agile frameworks
Proficiency in cloud-native technologies and familiarity with engineering best practices including containers, unit tests, linting, and code style checks
Engineering experience in cloud environments with AWS, Azure, or GCP
Experience focused on big data and performance optimization of data-intensive applications
Proactive approach with the ability to operate independently
Excellent client-facing skills and ability to handle ambiguous situations effectively
Fluent English communication skills at a B2+ level

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