Senior AI Data Engineer

~40 - 55 EUR/ godz./ godz.B2BB2B (netto)

SeniorZdalnie·WarszawaFull-time·B2B

#470461·Dodano 6 dni temu·3

Źródło: justjoin.it

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Tech Stack / Keywords

Python Databricks SQL AWS Snowflake Apache Spark Apache Airflow

Podsumowanie oferty

You’ll design, build and maintain scalable data pipelines and infrastructure for enterprise data platforms and AI-enabled solutions, supporting analytics, machine learning and AI applications. You’ll work with data and engineering teams using Python, SQL, cloud data services and platforms such as Databricks, Snowflake and Spark.

Wymagania

Strong experience in data engineering and cloud-based data platforms.
Proficiency in Python and SQL.
Experience with AWS, Azure and/or GCP data services.
Familiarity with technologies such as Databricks, Snowflake, Spark or similar platforms.
Experience building ETL/ELT pipelines and data integration solutions.
Understanding of data warehousing, lakehouse architectures and data modeling.
Knowledge of orchestration tools such as Airflow, Dagster or similar.
Strong communication skills and working proficiency in English.

Nice to have:

Experience with vector databases, data pipelines for RAG applications, streaming technologies or MLOps.

Obowiązki

Design and develop scalable data pipelines and data processing solutions.
Build and maintain data architectures for analytical and AI workloads.
Integrate data from multiple sources into cloud-based data platforms.
Improve data quality, reliability, performance and governance.
Collaborate with data scientists, AI engineers and software development teams.
Support data infrastructure for machine learning, LLMs and AI-powered applications.

Inne informacje

Recruitment process: application review, interview and hiring decision.

Allies

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