Data Delivery Engineer

5 days ago

Timișoara, Timiş, Romania Visma Romania Full time 30,000 - 60,000 per year

We are seeking a skilled and detail-oriented
Data Delivery Engineer
 to design, build, and maintain the data pipelines that are critical to our business operations.

The ideal candidate will be responsible for creating 
robust
, 
scalable
, and 
efficient ETL/ELT processes 
to 
move 
and 
transform data 
from various sources into our 
central data warehouse
 and other 
analytical systems
.

You will work closely with 
data analysts
, 
data scientists
, 
software engineers
, and 
business stakeholders
 to ensure data is 
accurate
, 
available
, and 
accessible 
for 
reporting
, 
analysis
, and 
decision-making.

Key Responsibilities

  • Design & Development:
     Design, develop, test, deploy, and maintain robust and scalable data integration processes (ETL, ELT, and API-based).
  • Data Pipeline Construction:
     Build data pipelines to extract data from a wide variety of sources, including relational databases (SQL Server), NoSQL databases, SaaS applications (e.g., Salesforce, Zuora ), APIs, and flat files.
  • Data Transformation:

Implement complex data transformations, cleansing, and validation rules to ensure data quality, consistency, and integrity within our data warehouse and data lake.
- Performance Optimization:

Monitor, troubleshoot, and optimize the performance of data integration jobs and data pipelines to meet service-level agreements (SLAs).
- Collaboration:
 Work with business analysts and stakeholders to understand their data requirements and translate them into technical specifications for data integration solutions.
- Documentation:
 Create and maintain comprehensive technical documentation for data pipelines, data models, processes, and data flows.
- Data Modeling:

Assist in the design and implementation of data models (e.g., star schemas, snowflake schemas) in the data warehouse to support BI and analytics needs.
- Technology & Tools:
 Evaluate and recommend new data integration tools and technologies to improve efficiency and capabilities.
- Data Governance

:
 Implement and adhere to data security, privacy, and governance best practices throughout the data lifecycle.

Required Skills & Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent practical experience).
  • Min 3+ years of hands-on experience in a data integration, ETL development, or data engineering role.
  • Strong proficiency in SQL and experience with databases (e.g., SQL Server, MySQL, Oracle, Google Big Query , Azure SQL Server ).
  • Hands-on experience with one or more data integration/ETL tools (e.g., Talend, Informatica PowerCenter, Microsoft SSIS, Fivetran ).
  • Solid understanding of data warehousing concepts, data modeling principles, and database design.
  • Excellent problem-solving and analytical skills, with a keen attention to detail.
  • Strong verbal and written communication skills and the ability to work effectively in a collaborative team environment.

Preferred Skills & Qualifications

  • Experience with Google Cloud Project : Dataflow, Cloud Functions, BigQuery.
  • Experience with modern data stack tools like dbt (Data Build Tool).
  • Experience developing and consuming RESTful APIs for data integration.
  • Familiarity with CI/CD principles and tools (e.g., Git, Jenkins, GitLab CI) for data pipelines.
  • Experience with Google Apps scripts.
  • Familiarity with Python.

What we offer:

We provide a comprehensive benefits package that supports your career development, work-life balance, and overall well-being.

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