DataArt

Senior Data Engineer

20k - 26k PLN20 000 - 26 000 PLN/ mies./ mies.B2BB2B (netto)

17k - 21k PLN17 000 - 21 000 PLN/ mies./ mies.UoPUmowa o pracę (brutto)

SeniorZdalnie·WrocławFull-time·B2B·Umowa o pracę

#469412·Dodano 7 dni temu·1

Źródło: justjoin.it

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Tech Stack / Keywords

SQL PythonSnowflake and/or DatabricksAWS and/or AzureDBTApache SparkWorkflow orchestrationdata management fundamentals

Podsumowanie oferty

Own the full lifecycle of a data warehouse, from pipeline design and dimensional modeling to performance tuning and infrastructure optimization. Transform raw data into reliable, scalable insights for business decision-making using Databricks, Snowflake, and AWS or Azure.

Wymagania

5+ years of experience or 5+ completed projects.
Advanced SQL and query optimization, with proficiency across popular database variations.
Python for data engineering and automation.
Experience with Snowflake and/or Databricks.
Experience with AWS and/or Azure.
Data transformation and modeling with DBT.
ETL/ELT pipeline design, development, and maintenance.
Apache Spark (PySpark preferred).
Workflow orchestration using Apache Airflow, Dagster, or another widely adopted orchestrator.
Relational database design and performance tuning with PostgreSQL, MySQL, SQL Server, Oracle, or similar databases.
Data warehousing concepts and dimensional modeling.
Data management fundamentals, including data modeling, data quality, metadata management, data warehouse/lake patterns, and distributed systems.
Version control using Git and CI/CD practices.
Data governance, data quality, lineage, and observability practices.
Security and access control implementation in cloud data platforms.

Nice to have:

Apache Kafka, Apache Flink, or Apache Beam.
Terraform, Kubernetes, or Docker.
Apache Iceberg, Delta Lake, or Apache Hudi.
Experience with real-time and event-driven architectures.
AWS Glue, Amazon MWAA, or Azure Data Factory.
Data Mesh and Data Product concepts.
Machine learning data pipelines, feature stores, or AI development experience.
Streaming analytics and Change Data Capture (CDC) solutions, such as Debezium.

Obowiązki

Develop, operate, optimize, test, and maintain the data warehouse, including ETL/ELT process development, cube development, database and performance administration, and dimensional table design.
Drive the full life cycle of back-end development for the data warehouse.
Identify, design, and implement internal process improvements, including redesigning infrastructure for scalability, optimizing data delivery, and automating manual processes.
Define data retention policies.
Build analytical tools that use the data pipeline to deliver insights into key business metrics, such as operational efficiency and customer acquisition.
Select and integrate tools for monitoring, managing, alerting on, and improving database performance.
Develop and implement automated processes to ensure uninterrupted database updates and correction of vulnerabilities.
Assemble large, complex datasets that meet functional and non-functional business requirements.

Benefity

Up to 26 business vacation days per year.
10 fully paid illness or special days off per year, with no medical papers needed, for all contract types.
Health and life insurance (Luxmed).
MyBenefit platform with a Multisport option.
Internal psychological support service.
English language classes from the first working day.
Access to external learning platforms: O’Reilly, LinkedIn Learning, and Udemy, plus a catalog of internal training.
Tech Skills Mentoring Program.
Opportunities to develop as a public speaker, mentor, or technical interviewer.
Certification reimbursement, including AWS, GCP, and Microsoft certifications.

Płatne święta

Opieka zdrowotna

Ubezpieczenie

Karta sportowa

Kursy językowe

Szkolenia wewnętrzne

Dofinansowanie szkoleń

DataArt

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