We are seeking a Data Consultant with approximately 3 years of experience in data engineering and analytics projects, with knowledge of Snowflake and Databricks. In this role, you will develop, maintain and optimize data integration and transformation processes, participating in the construction of modern analytical solutions under the supervision of architects and senior consultants.
EPAM NEORIS is a digital accelerator that supports some of the world’s leading companies in addressing business challenges and advancing their technology evolution, combining global engineering excellence with regional expertise and local proximity.
With operations across 11 countries in Ibero-America and more than 4,000 professionals in the region, we foster a diverse and inclusive culture focused on collaboration, continuous learning, and innovation.
As part of EPAM, a global network of more than 60,000 professionals across 55+ countries, we help organizations scale, modernize, and accelerate their digital capabilities through Cloud, Data & Analytics, Artificial Intelligence, Cybersecurity, Intelligent Automation, Strategic Consulting, and Software Engineering.
At EPAM NEORIS, we believe growth is also driven by people. That is why we promote an environment where every professional can grow, contribute new ideas, and participate in projects with regional and global impact.
Responsibilities
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Develop ETL/ELT processes for integrating data from diverse sources
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Build and maintain data pipelines in Snowflake and Databricks
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Create data transformations using SQL and Python
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Participate in data loading, validation and monitoring
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Support the optimization of queries and data processing
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Collaborate in the implementation of data models for analysis and reporting
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Contribute to quality assurance and testing activities
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Document developments, data flows and technical components
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Address incidents and perform ongoing maintenance of implemented solutions
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Work collaboratively with architects, technical leads and business users
Requirements
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2 to 4 years of experience in Data Engineering or Business Intelligence
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Hands-on expertise in Snowflake including database object development, SQL queries, data loading and ETL processes
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Basic knowledge of Streams, Tasks and Snowpipe
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Practical skills in Databricks including notebook development, data processing with Apache Spark and use of Delta Lake
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Proficiency in Python and SQL
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Solid knowledge of relational and dimensional data modeling
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Background in data integration and ETL processes
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Competency in Git for version control
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Analytical skills and problem-solving orientation
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Willingness to learn new technologies and methodologies
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Effective communication with technical and functional teams alongside teamwork, organization and follow-up of activities
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English proficiency at B2 level or higher
Nice to have
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Experience in cloud environments such as AWS, Azure or Google Cloud
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Familiarity with Data Lake and Lakehouse
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Skills in data process orchestration tools
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Understanding of data quality and governance concepts
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Certifications or courses in Snowflake, Databricks or cloud platforms
We offer
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Comprehensive wellness: WellHub Plan (Gympass) with access to thousands of centers, annual ophthalmological operation and exclusive discounts on health and beauty
100% Payroll Scheme -
Legal Benefits
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Benefits Package
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Professional Development Plan
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Multicultural Collaboration
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Commercial Agreements and Discounts: Through exclusive agreements with partner companies, EPAMers and their families have access to special prices on products and services, offered as discounts for being part of EPAM
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Development opportunities
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Referal Program
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Home office support: Connectivity bonus for your remote work needs
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
