Data Engineer – Data Migration & Analytics
- Location
- Bucharest
- Workplace
- On-site
- Employment
- Full-time
About this role
What we are looking for:
· Active participation in Big Data and analytics projects (implementation, migration, or support/maintenance).
· Develop and maintain ETL processes to extract, transform, and load data from multiple sources.
· Write SQL queries for data extraction, transformation, validation, and reporting.
· Build data processing scripts and jobs using Python and PySpark on large datasets.
· Perform data cleansing, profiling, and quality checks to ensure accuracy and consistency.
· Document data flows, mappings, and technical solutions.
· Contribute to simple web-based interfaces and reports using HTML, CSS, and JavaScript.
· Act as liaison with the client for troubleshooting: investigate, analyse, and solve data-related issues.
· Support testing, deployment, and continuous improvement of data solutions.
· Support data migration activities end to end: define source-to-target mapping and transformation rules, validate them with client stakeholders, and perform reconciliation checks through cutover and go-live.
What we need from you:
· Bachelor's degree in Computer Science, Informatics, Mathematics, or a related field (or equivalent practical experience).
· Basic knowledge of ETL concepts and data processing workflows.
· Basic understanding of data concepts: relational databases, data modelling, data warehousing, and data quality.
· Basic knowledge of Python and SQL.
· Basic knowledge of PySpark / Apache Spark.
· Basic knowledge of HTML, CSS, and JavaScript.
· Exposure to cloud data platforms (e.g., Azure, AWS, GCP, or Databricks) is a plus.
· Analytical mindset, attention to detail, and eagerness to learn.
· Good communication skills and the ability to work in a team.
· Understanding of banking products and processes is a plus.
We Offer:
· Interesting career development options and challenging assignments.
· A professional and team-oriented work environment.
· Great colleagues to work with.
· Up-to-date technologies and methodology.
· Professional development and training opportunities.
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