Senior Data Engineer (Snowflake & Databricks)

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SeniorZdalnie·WarszawaFull-time·B2B

#473523·Dodano wczoraj·0

Źródło: justjoin.it

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Tech Stack / Keywords

Data EngineeringSnowflake Databricks SQL Python PySparkData modeling

Podsumowanie oferty

Design, build, and operate cloud data solutions using Snowflake and Databricks. Work directly with clients across industries to deliver reliable data pipelines and models, while contributing to architecture and delivery decisions.

Wymagania

Core Skills & Qualifications:

5+ years of hands-on data engineering experience, including delivery and support of production data solutions.
Practical experience with both Snowflake and Databricks.
Strong SQL and Python skills, including hands-on experience with PySpark.
Experience using dbt to develop, test, and maintain data transformations.
Experience designing and deploying cloud data solutions, preferably on Azure.
Strong data modelling skills, including dimensional modelling and an understanding of Data Vault 2.0 concepts.
Experience with Git, code reviews, automated testing, and CI/CD.
Ability to investigate data quality issues and troubleshoot pipeline failures and performance problems.
Experience working directly with clients or multiple stakeholder groups.
Ability to work effectively in agile and startup environments, adapting to changing priorities and evolving requirements.
Strong critical thinking and problem-solving skills, with the ability to challenge assumptions, evaluate alternatives, and make evidence-based decisions.
Ability to work independently, clarify ambiguous requirements, and take ownership of delivery.

Nice to have:

Experience with change data capture, streaming, or event-driven processing.
Experience with infrastructure as code, such as Terraform.
Experience with AWS in addition to Azure.
Snowflake or Databricks certifications.
Experience mentoring engineers or leading technical delivery.
Familiarity with BI tools such as Power BI, Tableau, or Looker.

Obowiązki

Key Responsibilities:

Work with client stakeholders to understand business needs, assess existing systems, and define technical requirements.
Contribute to solution design, explaining technical options, trade-offs, and implementation effort.
Design, build, and maintain production ETL/ELT pipelines integrating databases, APIs, and file-based sources.
Develop data models and transformation workflows that support analytics and business processes.
Implement incremental loading, data validation, error handling, monitoring, and recovery mechanisms.
Improve pipeline performance and manage compute and storage costs.
Apply data security and governance practices, including access control and protection of sensitive data.
Use version control, code reviews, automated testing, and CI/CD to deliver maintainable solutions.
Create technical documentation and support knowledge transfer to client teams.
Support project estimation and planning, raise delivery risks, and mentor other engineers.

Benefity

Projects for clients such as PayPal, Wargaming, Xerox, Philips, Adidas, and Toyota.
Career development system with clear skill qualifications.
Flexible working hours aligned to your schedule.

Elastyczne godziny

Itransition

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