Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4344297260&distance=25&f_TPR=r86400&f_WT=2&geoId=103644278&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER&refresh=true&sortBy=R&start=175 Job Description: Ciklum Share Show more options Expert Data Engineer  United States · 3 hours ago · 20 people clicked apply Promoted by hirer · Responses managed off LinkedIn Remote Matches your job preferences, workplace type is Remote. Full-time Apply Save Save Expert Data Engineer  at Ciklum Expert Data Engineer Ciklum · United States (Remote) Apply Save Save Expert Data Engineer  at Ciklum Show more options Your profile is missing required qualifications Show match details Help me update my profile BETA Is this information helpful? Get personalized tips to stand out to hirers Find jobs where you’re a top applicant and tailor your resume with the help of AI. Try Premium for PKR0 Meet the hiring team Gorka Elordi Zamora 3rd Talent Acquisition Specialist | RRHH Job poster Message About the job Ciklum is looking for an Expert Data Engineer to join our team full-time in the US . We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As an Expert Data Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. Responsibilities: Work in partner with data scientists in deployment of models that are being developed, manage them in production, make updates Set guidance and educate data scientists in best practices for ML ops in GCP for Code deployment ML-Ops: Oversee the deployment and maintenance of machine learning models in production, ensuring robust and scalable solutions Collaboration: Work closely with cross functional teams, including product managers, engineers and business analysts to understand business needs Innovation: Stay up to date with latest advancements in data science and machine learning and apply them to improve existing processes and models Reporting: Create and present detailed reports and visualizations to communicate findings and recommendations to stakeholders Compliance: Ensure all data practices comply with industry regulations and company policies Requirements: Results-driven Data Engineer/Analytical engineer with 10+ years of experience designing, implementing, and optimizing data pipelines and analytics solutions across eCommerce, healthcare, and digital platforms Strong experience in Google Cloud Platform Expert in Azure Databricks, Google BigQuery, ML-Ops, including working with DAGs and following CI/CD pipelines code deployment in production Snowflake as well as ETL tool such as ADF, DBT, and Power BI Skilled in modern data stack, Medallion architecture, and real-time streaming using Kafka Known for delivering scalable, secure, and efficient data infrastructures that drive actionable insights What`s in it for you? Strong community: Work alongside top professionals in a friendly, open-door environment Growth focus: Take on large-scale projects with a global impact and expand your expertise Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company’s Benefit Plans