Short company description

Euro-Testing Software Solutions is involved in software consulting, having experience of approx. 20 years on the market in Romania and abroad, through specific IT solutions and services offered in the following areas:
• Software Testing (manual testing, testing automation, performance testing, outsourcing, training and certification, etc.)
• Cyber ​​Security
• DevOps/DevSecOps
• Implementation and Customization of Atlassian & OpenText products (MicroFocus) and other niche products/solutions
• AI based Decision Intelligence solutions.

Requirements

We are looking for an experienced Data Engineer that will ensure the operation, monitoring, and maintenance of our energy client data platform, as well as the ongoing development of its components, to continuously support business processes. Activities will include integrating new data sources and applications into the existing architecture and providing support to business and IT teams in using the platform, thereby ensuring its stable, scalable, and efficient operation while contributing to digital transformation and increased operational efficiency.

Responsibilities

Data collection and integration
• Designing and implementing batch and streaming data ingestion pipelines.
• Integrating data sources using:
o Apache Kafka for real-time data streaming.
o AWS connectors and external sources (APIs, databases, files).
• Ensuring data quality, consistency, and traceability.
Data workflow orchestration and automation
• Developing and maintaining processing workflows using Apache Airflow.
• Monitoring execution, handling errors, and implementing retry and alerting mechanisms.
• Optimizing scheduling and pipeline dependencies.
Data processing and transformation
• Implementing distributed processing using:
o Apache Spark (PySpark / Spark SQL).
o AWS EMR for running large-scale Spark jobs.
• Developing logic for data transformation, aggregation, and enrichment.
• Optimizing job performance (partitioning, caching, tuning).
Data storage and modeling
• Managing data in:
o Amazon S3 (data lake – raw, curated, and trusted layers).
o Amazon Redshift (data warehouse).
• Designing analytical data models (star / snowflake schemas).
• Implementing data versioning, archiving, and retention strategies.
Data delivery for analytics and BI
• Ensuring data availability for BI tools, particularly Qlik.
• Collaborating with BI and Data Analytics teams to:
o Define datasets.
o Optimize SQL queries.
• Implementing semantic layers and performance-efficient visualizations.
Software development and best practices
• Development in Python and SQL following coding standards.
• Code versioning (Git), code reviews, and technical documentation.
• Implementation of basic tests for pipelines and transformations.
Operations, security, and compliance
• Monitoring the data platform and proactive incident response.
• Implementation of AWS security policies (IAM, encryption, access control).
• Adherence to data compliance and governance requirements.

Other info

On-site client technical interviews (technical platform usage, English language evaluation)

Benefits

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  Special events bonus
  (ex: Easter, Christmas)
  
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  Medical subscription
  
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  Flexible work schedule
  
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  Teambuildings / trips
  
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  Parties / company events
  
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  Laptop
  
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  Meal vouchers