InPost

(Senior) Data Developer (m/f/d)

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SeniorZdalnie·KrakówFull-time

#467962·Dodano 19 dni temu·1

Źródło: InPost

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Tech Stack / Keywords

Databricks PySpark SQL Python Microsoft AzureDelta LakeGitAzure DevOpsKafkaStructured Streaming

Podsumowanie oferty

Join InPost’s Global Network Analytics area to build and maintain data solutions that support decision-making, reporting and automation. You’ll prepare trusted datasets using Databricks, PySpark and SQL for analytical, reporting and product teams.

Wymagania

At least 2 years of experience in Data Engineering, Analytics Engineering or data analysis, including designing ETL/ELT processes and building data models or data layers for analytical purposes.
Experience maintaining production data processes, including monitoring, issue diagnosis and data quality assurance.
Experience with cloud solutions, especially Microsoft Azure.
Practical knowledge of SQL, Python, PySpark and Databricks.
Understanding of Data Lake / Delta Lake architecture and data modelling principles.
Practical experience with Git and Azure DevOps, including managing changes across Dev, Test and Prod environments.
Ability to translate business requirements into technical solutions.
Advanced English skills, enabling confident communication in an international environment.
Analytical and logical thinking, attention to detail, proactivity and the ability to prioritize work under time pressure.

Nice to have:

Experience working in a complex operational environment.
Knowledge of dimensional modelling, including star schema, fact and dimension tables, data grain, and normalization or denormalization approaches for reporting and analytics.
Knowledge of advanced Databricks and Delta Lake mechanisms.
Experience with streaming technologies such as Kafka, Structured Streaming or Event Hubs.
Familiarity with monitoring and alerting tools.
Knowledge of data security, access control, metadata management and data lineage principles.
Experience with Jira and Confluence.
Certifications such as Microsoft Certified: Fabric Analytics Engineer DP-600 or Databricks Data Engineer / Analyst Associate.

Obowiązki

Build and maintain data solutions in Databricks using PySpark and SQL, working on new requirements and extending existing notebooks and data processes.
Combine data from different systems and prepare reliable datasets for reports, operational processes and business users.
Create and maintain Delta tables, views and data models, including daily snapshots and reference or mapping datasets.
Translate business requirements into data logic in cooperation with analysts, Product Owners and international teams.
Investigate unexpected results, identify data issues and add checks for missing, duplicated or inconsistent data.
Maintain and improve scheduled Databricks jobs that support recurring business processes.
Keep code understandable and maintainable, and improve performance where it affects reliability or processing time.
Explore solutions beyond traditional data processing, including automation and containerized applications.
Document data processes, key business rules and common troubleshooting steps.

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