Data Engineer (BigQuery / GCP) (m/f/d) w Łódź, Poland - Jobeax
Opis oferty
Data Engineer (BigQuery / GCP) (m/f/d) w Łódź, Polska
Commerzbank AG
ZdalniePraca z dowolnego miejsca
KontraktUmowa czasowa lub freelancing
Łódź, Polska
Your responsibilities
Develop and optimize BigQuery datasets, views and queries (partitioning, clustering, materialized views) to meet performance and cost targets.
Build and maintain ELT/ETL pipelines into BigQuery (e.g., via Cloud Storage, Pub/Sub, Dataflow, Dataproc, or vendor sources), including monitoring and error handling.
Model data for analytics (dimensional and/or data vault concepts) and define data quality checks, lineage and documentation for curated datasets.
Collaborate with business and IT stakeholders to translate requirements into technical specifications, implement changes, and support testing and release activities.
Ensure operational stability and security (IAM, service accounts, dataset access, auditability), troubleshoot incidents, and continuously improve reliability and automation.
Our requirements
Advanced SQL skills with hands-on experience in BigQuery
... dataset access, auditability), troubleshoot incidents, and continuously improve reliability and automation. Advanced SQL skills with hands-on experience in BigQuery, Good knowledge of GCP Data Engineering Optional, Basic Python knowledge, Basic knowledge of Git / CI/CD Benefits, private medical care, sharing the costs of ...
... experience in data engineering; - practical experience with at least one cloud platform: GCP or Azure; - hands-on experience with at least one of the following: BigQuery, Snowflake or Databricks; - strong Python or Java/Scala skills; - strong SQL skills; - experience with building and maintaining data pipelines; - understanding ...
... Claude Code. - Współpraca z zespołem przy projektowaniu i dostarczaniu rozwiązań danych. Nasze wymagania - Minimum 2 lata doświadczenia w pracy na stanowisku Data Engineer lub w podobnej roli. - Dobra znajomość SQL i doświadczenie w pracy ze złożonymi zapytaniami analitycznymi. - Praktyczna znajomość Google BigQuery, w ...
Expected, GCP, BigQuery, Python, Apache Airflow, ETL, Power BI, SQL About the project, We are looking for an experienced Senior Data Engineer to join our team and work on innovative data engineering projects. You will play a key role in building and maintaining data pipelines, implementing data orchestration workflows, ...
Expected, GCP, BigQuery, Python, Apache Airflow, ETL, Power BI, SQL About the project, We are looking for an experienced Senior Data Engineer to join our team and work on innovative data engineering projects. You will play a key role in building and maintaining data pipelines, implementing data orchestration workflows, ...
Expected, Google Cloud Platform Operating system, Windows About the project, We are seeking a Data Governance Engineer (with GCP / BigQuery) to design and maintain robust data architecture and governance practices within a large organisation. The person in this role will collaborate with business analysts, data stewards ...
Your responsibilities - Implement data ingestion from diverse sources utilizing technologies including RDBMS, REST HTTP API, flat files, Streams, Time series data, SAP - Research and utilize Big Data technologies for effective data ingestion - Process and transform data using tools such as Spark and various Cloud Services ...
Your responsibilities - Building GCP platform to support application deployments - Engineering cloud infrastructure solutions using Terraform and Infrastructure as Code (IaC) - Integrating and managing core GCP services, including IAM, networking, logging, containers, and operating systems - Ensuring compliance with security, ...
... development, and ensure your skills make a difference. ,[Building, deploying, and managing GCP foundation platform applications using Google Cloud products (BigQuery, GKE, Cloud Build, Cloud Run) with Python as the primary programming language, Engineering solutions on the GCP foundation platform using Infrastructure as ...
... foundations: hypothesis testing, regression, experimental design, and knowing when a result is real versus noise - Knowledge of at least one cloud/data platform and its data science components — Azure (Microsoft Fabric, Azure Machine Learning), AWS (SageMaker), GCP (Vertex AI, BigQuery ML), Snowflake (Snowpark ML, Cortex), Databricks ...