Data Engineer responsible for building and optimizing data architecture to support reporting and analytics at Epic Staffing Group. Ensuring scalability and reliability of data infrastructure across systems.
Responsibilities
Develops and maintains enterprise data architecture that supports efficient integration, transformation, and storage across systems.
Establishes and manages frameworks that ensure consistency, reliability, and scalability of data models supporting business intelligence and analytics.
Oversees integration processes that connect internal and external data sources into unified, trusted datasets.
Designs and maintains automated data workflows that streamline movement, transformation, and monitoring across platforms.
Utilizes programming and automation techniques to optimize performance and reduce manual intervention.
Ensures data pipelines operate with accuracy, timeliness, and reliability to meet evolving business requirements.
Implements standards and controls to ensure the accuracy, integrity, and security of organizational data.
Requirements
3 years of experience in data engineering or cloud-based data platform development.
Advanced proficiency in SQL, including query optimization, indexing, and stored procedure development.
Practical experience with modern data architecture and integration tools within a cloud environment.
Strong knowledge of Python for data transformation, automation, and API integration.
Proven ability to design and implement REST or SOAP APIs for data connectivity.
Solid understanding of data modeling principles, including star schema, dimensional modeling, and data vault design.
Experience integrating data from CRM, ERP, ATS, and financial systems to support enterprise reporting.
Working knowledge of data visualization tools such as Power BI.
Comprehensive understanding of data warehousing concepts, including governance, quality, and security best practices.
Proficiency in speaking, reading, writing, and understanding the English language as required for effective performance of job duties.
Snowflake Data Engineer optimizing data pipelines using Snowflake for a global life science company. Collaborate with cross - functional teams for data solutions and performance improvements in Madrid.
Data Engineer designing and implementing big data solutions at DATAIS. Collaborating with clients to deliver actionable business insights and innovative data products in a hybrid environment.
SAP Data Engineer supporting MERKUR GROUP in becoming a data - driven company. Responsible for data integration, ETL processes, and collaboration with various departments.
Big Data Engineer designing and managing data applications on Google Cloud. Join Vodafone’s global tech team to optimize data ingestion and processing for machine learning.
Data Engineer building and maintaining data pipelines for Farfetch’s data platform. Collaborating with the Data team to improve data reliability and architecture in Porto.
Senior Data Engineer at Razer leading initiatives in data engineering and AI infrastructure. Collaborating across teams to develop robust data solutions and enhancing AI/ML projects.
Data Engineering Intern working with data as Jua builds AI for climate and geospatial datasets. Contributing to the integration and validation of new datasets with experienced mentors.
Data Engineer supporting a fintech company in building and maintaining data pipelines. Collaborating with tech teams and enhancing data processing in a high - volume environment.
Senior Data Engineer developing and optimizing data pipelines for Scene+’s cloud - native platform in Toronto. Collaborating across teams to enhance data governance and analytics capabilities.
Staff Engineer developing innovative data solutions for dentsu's B2B marketing vision. Collaborating using cutting - edge cloud technologies and mentoring engineers in their careers.