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Databricks engineer

HCLTech
Publicada el Publicado hace 12 hr horas
Descripción

At hcltech, we believe that success starts with our people and we are committed to creating an environment where every team member can thrive.hcl tech is a global technology company, home to more than 219,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and ai, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for financial services, manufacturing, life sciences and healthcare, technology and services, telecom and media, retail and cpg and public services.equality & opportunity for allrepresenting 165 nationalities across the globe, we pride ourselves on being an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law.we offer a competitive package that includeslife insurancemajor medical expenses insuranceminor medical expense insurancesavings fund 13% (up to mxn $4,293 monthly)food vouchers 10% (up to mxn $3,300 monthly)30 days as christmas bonus12 days of vacation in the first year, increasing 2 days as dictated by lawadditionally, we provide continuous training and development opportunities to help our employees achieve their professional goalshow you’ll growat hcltech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.ready to join us?As a senior databricks engineer, you will play a pivotal role in designing, implementing, and optimizing data processing pipelines and analytics solutions on the databricks platform. You will collaborate closely with cross-functional teams to understand business requirements, architect scalable solutions, and ensure the reliability and performance of our data infrastructure. This role requires deep expertise in databricks, strong programming skills, and a passion for solving complex engineering challenges.what you'll dodesign and develop data processing pipelines and analytics solutions using databricks.architect scalable and efficient data models and storage solutions on the databricks platform.collaborate with architects and other teams to migrate current solution to use databricks.optimize performance and reliability of databricks clusters and jobs to meet slas and business requirements.use best practices for data governance, security, and compliance on the databricks platform.mentor junior engineers and provide technical guidance.stay current with emerging technologies and trends in data engineering and analytics to drive continuous improvement.you'll be expected to havebachelor's or master's degree in computer science, engineering, or a related field.8+ years of overall experience and 3+ years of experience designing and implementing data solutions on the databricks platform.proficiency in python and sql.strong understanding of distributed computing principles and experience with big data technologies such as apache spark.expertise in aws services and cloud-native development. Azure or gcp experience is a plus.experience with cloud platforms such as aws, azure, or gcp, and their associated data services.proven track record of delivering scalable and reliable data solutions in a fast-paced environment.excellent problem-solving skills and attention to detail.strong communication and collaboration skills with the ability to work effectively in cross-functional teams.good to have experience with containerization technologies such as docker and kubernetes.knowledge of devops practices for automated deployment and monitoring of data pipelines.if this sounds like a good opportunity, we would love to hear from you.

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