Appstronauts

Data & Analytics Consultant (Databricks / Azure)

110 - 155 PLN/ godz./ godz.B2BB2B (netto)

MidZdalnie·WarszawaFull-time·B2B

#367734·Dodano 4 miesiące temu·26

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Apache Spark SQLAzure Data FactoryETL UNITYPower BIAgileRequirements gatheringStakeholder managementAzure

Firma i stanowisko

Appstronauts is hiring for a Data & Analytics Consultant role focused on modern Azure Data Platform technologies, working on long-term projects with experienced technical and business teams. The position involves collaboration with business stakeholders and analysts to design data models and build data pipelines supporting decision-making.

Wymagania

Strong experience with Databricks.
Strong experience with Apache Spark (PySpark).
Advanced SQL skills.
Experience with Microsoft Azure.
Experience with Azure Data Factory (ADF).
Strong knowledge of ETL/ELT design and implementation.
Experience with batch and near real-time data processing.
Knowledge of Delta Lake (MERGE operations, versioning, optimization).
Understanding of Lakehouse architecture.
Experience with Unity Catalog and access management.
Experience with Power BI.
Understanding of Data Governance and Data Quality principles.
Strong analytical thinking and problem-solving skills.
Ability to understand business processes and data dependencies.
Experience defining KPIs and analytical metrics with business stakeholders.
Ability to translate business language into data models and technical solutions.
Experience conducting business workshops.
Strong requirements gathering and clarification skills.
Ability to identify gaps and inconsistencies in requirements.
Experience working in agile and changing environments.
Strong communication and stakeholder management skills.

Nice to have:

Experience in enterprise-scale Azure environments.
Experience in regulated industries such as energy, finance, healthcare, or telecommunications.
Experience working with executive stakeholders.

Obowiązki

Collaborate with business stakeholders to understand analytical needs and define data requirements.
Lead workshops and discovery sessions with business users.
Translate business requirements into data models, ETL/ELT processes, and technical specifications.
Design and develop scalable data pipelines using Databricks, PySpark, Azure, and SQL.
Build and optimize batch and near real-time data processing solutions.
Design and maintain Lakehouse architectures.
Implement and manage Delta Lake solutions.
Define and maintain KPIs, metrics, and analytical datasets.
Support data governance, data quality, and access management initiatives.
Create source-to-target mappings and data documentation.
Identify data quality issues and propose corrective actions.
Partner with business teams to explain technical constraints and opportunities.

Benefity

Long-term projects with modern Azure Data Platform technologies.
Opportunity to shape data products and business decisions.
High level of autonomy and influence.
Collaboration with experienced technical and business teams.
Flexible working model.
Sport subscription.
Training budget.
Private healthcare.
Small teams.
International projects.

Karta sportowa

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Opieka zdrowotna

Appstronauts

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