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Tech Stack
Tools & technologiesApacheAzureETLJavaPythonScalaSparkSQL
About the role
Key responsibilities & impact- Design, develop, and maintain ETL and data transformation processes.
- Build, optimize, and support Spark-based data pipelines.
- Develop scalable data processing solutions in a Big Data environment.
- Integrate data from multiple sources while ensuring data quality and consistency.
- Analyze, troubleshoot, and resolve data-related issues.
- Optimize data performance and processing efficiency.
- Collaborate with cross-functional teams to gather and refine business requirements.
- Participate in Agile ceremonies and contribute to continuous improvement initiatives.
- Follow DevOps and CI/CD best practices throughout the development lifecycle.
Requirements
What you’ll need- 3+ years of experience in software development and data engineering.
- Strong SQL knowledge (ANSI SQL, Hive SQL, Spark SQL, or equivalent).
- Hands-on experience with Apache Spark and at least one of the following programming languages: Scala, Python, Java.
- Experience working with Spark-based platforms such as Azure Databricks, Amazon EMR, Cloudera, Apache Hive or similar Big Data environments.
- Experience with Qlik Sense reporting and dashboard development.
- Familiarity with Agile methodologies and DevOps practices.
- Experience with version control and CI/CD tools such as Git, GitHub, SonarQube, Nexus.
- Strong analytical and problem-solving skills.
- Ability to work collaboratively within a multidisciplinary team.
- Ability to understand, analyze, and improve business and technical requirements.
- English level B2+ or above.
Benefits
Comp & perks- Permanent, full-time contract with career development opportunities.
- Chance to work in a challenging, multicultural environment with international projects.
- Exposure to large-scale financial IT systems and cross-country operations.
- Training opportunities to develop new skills in finance, technology, and data management.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ETL ProcessesData TransformationApache SparkSQLScalaPythonJavaData Quality AssuranceData AnalysisBig Data Solutions
Soft Skills
Analytical SkillsProblem-SolvingCollaborationCommunication
