Senior Data Engineer at Faptic Technology

, , Romania -

Full Time

Start Date

Immediate

Expiry Date

22 Dec, 25

Salary

0.0

Posted On

23 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Snowflake, Data Pipelines, ETL, ELT, Data Models, Data Integration, Data Governance, Performance Tuning, Query Optimization, APIs, Cloud Services, Problem-Solving, Analytical Skills, Communication Skills, Matillion, SnapLogic

Industry

IT Services and IT Consulting

Description

Accelerate your development and exposure to high performance applications and cloud infrastructure. Join Faptic Technology, a fast-growing scale-up organization with an ambition to be recognized as one of the leading technology companies in Romania. Our global client base needs builders: engineers and developers who love technology, have deep expertise in software and cloud technologies, and importantly, have a passion for culture and customers. We obsess about our customers We build outstanding technical solutions We create an awesome culture We accelerate learning and careers We are looking for a Senior Data Engineer with strong expertise in SQL and Snowflake, and solid experience building and managing data pipelines in enterprise environments. The ideal candidate will have a proven track record in designing scalable data solutions and will ideally bring hands-on knowledge of tools such as Matillion and/or SnapLogic. Responsibilities: Design, develop, and maintain robust data pipelines and ETL/ELT workflows with a focus on Snowflake and SQL. Build, optimize, and manage scalable data models for analytics, reporting, and advanced use cases. Integrate structured and unstructured data from diverse sources, ensuring reliability, accuracy, and scalability. Collaborate with business analysts, data scientists, and stakeholders to understand requirements and translate them into technical solutions. Apply best practices in data governance, quality, and security across pipelines and platforms. Monitor, troubleshoot, and optimize performance of data processes to ensure efficiency and cost-effectiveness. Leverage modern tools (Matillion, SnapLogic, or equivalent) to streamline ingestion, transformation, and automation. Support CI/CD and version control practices to enable agile data development. Bachelor’s degree in Computer Science, Data Engineering, or a related field. 5+ years of experience in data engineering, with strong expertise in SQL and Snowflake. Proven experience designing, building, and optimizing ETL/ELT pipelines at scale. Solid understanding of data pipeline principles, including batch and real-time processing. Strong experience in performance tuning and query optimization for large datasets. Proficiency with modern data integration tools (Matillion and/or SnapLogic preferred). Experience working with APIs and cloud-based data services. Strong problem-solving and analytical skills with attention to detail. Excellent communication skills in English, both written and spoken. Preferred Skills (Nice to Have): Hands-on experience with Matillion and/or SnapLogic in production environments. Familiarity with Python or other scripting languages for automation. Knowledge of cloud environments (AWS, Azure, or GCP). Experience with data quality and cleansing frameworks. Familiarity with BI/visualization tools such as Power BI or Tableau. Private medical insurance Training on market trends and client needs Continuous personal improvement - 8h/month during work hours Lunch on Friday (twice per month, we pay) 21 days annual leave, with one day per year extra up to 25 days 3 days sick leave without medical proof off 1 day for your Birthday off 0.5 days Christmas Shopping off Competitive package Quarterly fun budget for team events

Responsibilities

Design, develop, and maintain robust data pipelines and ETL/ELT workflows with a focus on Snowflake and SQL. Collaborate with business analysts, data scientists, and stakeholders to understand requirements and translate them into technical solutions.