Data Engineer

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Thermo Services (Hungary) Kft.
Munkavégzés helye

Országos lefedettség

Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
Elvárt technológiák
- DATABASE ACCESS AWS TESTING SQL PYTHON POSTGRESQL DEVOPS TROUBLESHOOTING DATABASES AGILE DEBUGGING AUTOMATED TESTS
Elvárások
- Angol középfok
- 3-5 év tapasztalat
- Főiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Responsibilities

Design, build, test, tune and support production data pipelines using PySpark, Python, advanced SQL and AWS data services
Support ingestion and transformation of flat files, relational databases, APIs, data warehouses and enterprise data sources
Collaborate with business analysts, data architects, QA, DevOps and senior engineers to implement source-to-target mappings and data solutions
Implement CDC, incremental load design, idempotent pipeline processing and data reconciliation patterns
Maintain technical documentation, mapping specifications, data catalog updates, runbooks, automated tests and release support materials

Requirements

Bachelor's degree or equivalent in Computer Science, Information Technology, Data Engineering or related field
3-5 years of experience in data engineering, ETL development, SQL, AWS data platforms or production data pipeline support
Hands-on experience with PySpark, Python, advanced SQL, ETL best practices, data modeling and large-scale data processing
Deep knowledge of Redshift performance tuning including distribution keys, sort keys, compression encoding, Spectrum, materialized views, WLM, vacuum and analyze
Strong knowledge of Athena optimization including partition pruning, file formats, compression, schema evolution and cost-efficient query design
Strong understanding of DynamoDB data modeling, access-pattern-based design, capacity planning, GSIs/LSIs, TTL, Streams and performance tuning
Exposure to secure PHI/PII handling including encryption, access controls, auditability, retention, masking and de-identification where applicable
Strong analytical, troubleshooting, documentation, communication and cross-functional collaboration skills
Experience with PySpark, Python, advanced SQL, ETL development and data pipeline implementation
Experience with AWS data services including S3, Glue, Lambda, Step Functions, ECS, DynamoDB, Redshift, PostgreSQL, SQL Server and Athena integration
Experience with flat-file ingestion, source-to-target mapping, transformation logic, CDC, incremental loads, idempotent processing, reconciliation and data quality checks
Experience with CI/CD, GitHub workflows, automated testing and release management for data pipelines and database changes
Problem-solving, production support, debugging, documentation and Agile delivery skills

Nice-to-have

Exposure to AI-assisted mapping automation and use of LLMs for data cleaning, data quality checks, transformation logic or documentation
Familiarity with RAG patterns, embeddings, vector databases, semantic search or AI-enabled data discovery solutions
Understanding of healthcare data standards such as HL7, FHIR, CCD, claims data, EMR extracts, clinical trial data and patient de-identification
Familiarity with infrastructure as code such as Terraform or CloudFormation, plus Databricks, Snowflake, streaming, observability or DevOps practices

What we offer

Full time employment
Remote work opportunity
Work schedule accommodating India and Philippines time zones

Company info

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue of more than $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD.