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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and managing data ingestion services using Kafka and Apache Iceberg on AWS, with a strong focus on data privacy, retention, and access control. Proficient in SQL and experienced in data modeling, ensuring high-quality production code and effective collaboration with cross-functional teams.
Highest-signal resume keywords
Kafka Production ExperienceApache Iceberg ImplementationData Pipeline DevelopmentSQL ProficiencyData Privacy 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
Production CodingTestingData ModelingData Pipeline DevelopmentPersonal Data Handling
Soft Skills
CollaborationDecision-MakingCommunication
Tools & Technologies
AWS S3Apache IcebergAthenaLake FormationPostgreSQLDuckDBTerraformGitLab CI
Industry Keywords
Data WarehouseLakehouseAvro SchemasCI EnforcementData Access Control
Tech Stack
Tools & technologiesApacheAWSJavaKafkaKotlinPostgresSQLTerraform
About the role
Key responsibilities & impact- Build and run services ingesting Kafka topics into Apache Iceberg tables on AWS
- Implement partitioning, compaction, deduplication and historical-data backfills
- Write clean, well-tested and maintainable production code
- Use AI coding tools with sound judgement and contribute to code reviews and engineering standards
- Collaborate with data-producing teams on Avro schemas, field-level classification, schema evolution and CI enforcement checks
- Implement personal-data erasure, retention and per-agency access control
- Build the query layer for the customer-facing data API
- Provide data access through Athena
- Evaluate technical approaches, measure performance and cost, and document decisions
- Migrate dashboards, reports and finance extracts to the new platform
- Build a curated layer of shared metrics and business-ready datasets for BI tools and an AI analytics assistant
Requirements
What you’ll need- Must currently live in Romania
- Must have the legal right to work in Romania
- B2 or higher level of proficiency in English
- Solid software engineering fundamentals, including production coding, testing, Git and CI pipelines
- Daily use of AI coding tools with careful output review
- Good SQL skills
- Some experience building or running data pipelines
- Solid grasp of data modelling
- Experience running a lakehouse or data warehouse in production
- Production experience with Kafka and schemas, ideally Avro
- Experience handling personal data, including privacy, retention and access control
- Ability to make design decisions and explain trade-offs in writing and conversation
- Experience with Java or Kotlin, AWS S3, Apache Iceberg, Athena, Lake Formation, PostgreSQL, DuckDB, Kafka with Avro, Terraform and GitLab CI is beneficial
- Advanced written and spoken English
Benefits
Comp & perks- Fully remote work arrangement
- Contract role
- Opportunity to build a data platform from the ground up
- Hands-on experience with Iceberg, Athena, Lake Formation, Kafka and Avro on AWS
- Opportunity to shape technical direction in a small team
- Inclusive and supportive work environment
- Reasonable adjustments available at any stage of the process
