Senior Data Engineer (Tableau, Snowflake, dbt)
New
D
DataArtWealth management
Workplace type: remote; Country code: PL, Availability aligned with the EST time zone or at least a four-hour overlap with EST working hours.Full-TimeSenior
Salary18,000 - 24,800 PLN per month
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Job Details
- Languages
- En B2
- Experience
- 5+ years of experience in Data Engineering or Analytics Engineering
- Required Skills
- SQLETLSnowflakeTableau
Requirements
- Have 5+ years of experience in Data Engineering or Analytics Engineering.
- Have hands-on experience with dbt Core in production environments.
- Have experience designing dbt data models, incremental strategies, snapshots, macros, Jinja templates, tests, and documentation.
- Have strong Snowflake experience, including performance optimization and cost management.
- Have advanced SQL skills.
- Understand dimensional modeling and star schema design.
- Have hands-on experience building Tableau dashboards and data sources.
- Have experience with Tableau calculated fields, Level of Detail expressions, extracts, live connections, and dashboard performance optimization.
- Have experience with ETL and ELT architectures and API-based data ingestion.
- Have experience with workflow orchestration tools such as Prefect or Apache Airflow.
- Understand financial services, wealth management, investment management, or portfolio data structures.
- Be available to align with EST or overlap EST working hours by at least four hours.
Responsibilities
- Design, develop, and maintain dbt Core projects across staging, intermediate, and mart layers.
- Build incremental models, snapshots, macros, reusable Jinja components, and testing frameworks.
- Ensure data quality through testing, documentation, lineage management, and version-controlled development practices.
- Design dimensional data models and reporting structures for portfolio, client, and financial analytics.
- Develop and maintain data ingestion pipelines into Snowflake, including API-based integrations.
- Orchestrate and monitor data workflows using Prefect.
- Integrate and standardize data from platforms including Addepar, NetSuite, Salesforce, Morningstar, and UKG through Workato.
- Create and maintain Tableau dashboards, published data sources, and reporting assets.
- Optimize Snowflake performance and cost efficiency through query tuning, warehouse management, and data architecture improvements.
- Collaborate with business stakeholders to translate reporting and analytics requirements into scalable data solutions.
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