Lead Data Software Engineer (Databricks)

Lead Data Software Engineer (Databricks) We are looking for a Lead Data Software Engineer with experience and knowledge in Databricks and an 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 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

We help our customers navigate the waves of digital transformation, building solutions that help them stay competitive through constant market disruption. As consultants, designers, architects, engineers and trainers, at EPAM we focus on building long-term partnerships with our customers, enabling them to reimagine their businesses through a digital lens. By delivering solutions through best-in-class engineering, strategy, design, consulting, education and innovation services, we help our customers become faster, more agile and more adaptive enterprises. Selected by Newsweek as a 2021 Most Loved Workplace, our global multi-disciplinary teams serve customers in more than 45 countries across five continents. We are listed among the top 15 companies in IT Services on the Fortune 1000 and ranked as the top IT services company on Fortune’s 100 Fastest-Growing Companies list for the last three consecutive years. EPAM is also listed among Ad Age’s top 25 World’s Largest Agency Companies and in 2020, Consulting Magazine named EPAM Continuum a top 20 Fastest-Growing Firm.