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Build and maintain scalable data pipelines using PySpark/Scala, Hadoop, Airflow, and SQL in a DevOps environment, with hybrid work in Kraków.
Lead Data Engineer builds and maintains scalable data pipelines on Azure and Databricks, designs SQL-based architectures, and mentors junior engineers in Gdynia.
Designs and optimizes ETL pipelines and data warehouse loads for financial BI projects using SQL and Informatica PowerCenter.
Build and optimize Azure Databricks-based data pipelines and Lakehouse architectures using PySpark and Azure Data Factory to power scalable cloud analytics and BI reporting.
Builds and maintains semantic data models and business glossaries using RDF/SPARQL, automates features for internal users, and supports Kubernetes-based tooling.
Designs and maintains Snowflake data pipelines, migrates on-prem warehouses to Snowflake, and builds AI/ML solutions in a hybrid cloud environment.
Design and build Snowflake data pipelines using SQL, Snowpark, and Airflow to support banking analytics and regulatory reporting in a hybrid role.
Build cloud-connected services for Toyota vehicles using Java, Spring Boot, and AWS; engineer scalable microservices that power global driving experiences.
Builds an automated canary-analysis system for edge devices: ingests time-series telemetry, writes PromQL/MetricsQL queries, detects anomalies, and integrates with CI/CD pipelines.
Builds AI-driven data pipelines and Snowflake Cortex integrations to power LLM features for a bank’s data platform.
Builds and maintains CI/CD pipelines for data workflows in Snowflake, automating deployments with Python and Kubernetes to streamline developer workflows.
Design and implement a scalable enterprise search engine using SQL, Python, and Big Data tools in a hybrid Kraków role for a global financial-services firm.
Leads cloud-native migration and AI integration for regulatory data platforms in a global investment bank’s Warsaw team.
Builds and maintains Snowflake-based cloud data warehouses and CI/CD pipelines for a global media company, collaborating with cross-functional teams.
Freelance role building and maintaining data pipelines on Databricks for a Polish beverage manufacturer’s Azure-based data platform.
Builds and maintains scalable data pipelines and lakehouse infrastructure for AI/ML workloads using Python, Java, SQL, and Spark.
A 2-month remote bootcamp teaching SQL and Python for data analysis, including practical tasks and feedback for students with IT backgrounds.
Builds and maintains data pipelines on Palantir Foundry to deliver AI-driven analytics solutions for business challenges using Python and PySpark.
Leads a team building and maintaining large-scale data pipelines on GCP, mentoring engineers and collaborating with stakeholders to deliver AI and platform solutions for an edtech company.
Design and build automated testing infrastructure for AMD’s distributed ML training systems, ensuring reliability and high quality standards across teams.
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