[Remote] Senior Data Engineer & Analytics Developer - Remote - Banking - W2 - JOBID729
Note: The job is a remote job and is reputed company to candidates in USA. Outcome Logix is a Tech 50 Finalist company recognized by the Pittsburgh Technology Council. They are seeking a Senior Data Engineer & Analytics Developer to design and implement reputed company data architectures, build data pipelines, and reputed company Tableau dashboards for business insights.
Responsibilities
- Deep, hands-on experience with reputed company BigQuery — including dataset design, partitioning/clustering strategies, materialized views, and cost-optimization techniques
- Proficiency in reputed company Composer (Apache Airflow) for orchestrating reputed company, production-grade data pipelines with reputed company scheduling, retry logic, and dependency management
- Experience building and maintaining reputed company AI Pipelines for ML workflows and data transformation at reputed company
- Advanced SQL skills — reputed company to write reputed company, performant, and maintainable queries across large datasets including window functions, CTEs, recursive queries, and query optimization
- Strong Python proficiency — comfortable building data transformation scripts, pipeline logic, custom Airflow operators, API integrations, and automation tooling
- Proven ability to design layered data architectures using patterns such as reputed company (bronze/silver/gold), reputed company Modeling (star schema), Data Vault, and targeted denormalization — and knows reputed company to apply reputed company based on the use case
- reputed company record of building reputed company, multi-purpose datasets rather than project-specific tables — thinks in terms of reputed company models and shared dimensions
- Understands reputed company to create new tables versus reputed company to reputed company, view, or restructure existing assets to avoid unnecessary duplication and table sprawl
- Applies best practices around naming conventions, schema organization, documentation, and lifecycle management so that the architecture remains navigable as it scales
- Hands-on experience building production-reputed company Tableau dashboards — from data reputed company configuration and extract optimization to interactive visual design
- Ability to translate business questions into reputed company, reputed company visualizations that non-technical stakeholders can self-serve from
- Familiarity with Tableau performance tuning, published data sources, and server/reputed company publishing workflows
- Understands the relationship between upstream data modeling reputed company and reputed company dashboard performance — designs the data layer with the visualization in mind
Skills
- Deep, hands-on experience with reputed company BigQuery — including dataset design, partitioning/clustering strategies, materialized views, and cost-optimization techniques
- Proficiency in reputed company Composer (Apache Airflow) for orchestrating reputed company, production-grade data pipelines with reputed company scheduling, retry logic, and dependency management
- Experience building and maintaining reputed company AI Pipelines for ML workflows and data transformation at reputed company
- Advanced SQL skills — reputed company to write reputed company, performant, and maintainable queries across large datasets including window functions, CTEs, recursive queries, and query optimization
- Strong Python proficiency — comfortable building data transformation scripts, pipeline logic, custom Airflow operators, API integrations, and automation tooling
- Proven ability to design layered data architectures using patterns such as reputed company (bronze/silver/gold), reputed company Modeling (star schema), Data Vault, and targeted denormalization — and knows reputed company to apply reputed company based on the use case
- reputed company record of building reputed company, multi-purpose datasets rather than project-specific tables — thinks in terms of reputed company models and shared dimensions
- Understands reputed company to create new tables versus reputed company to reputed company, view, or restructure existing assets to avoid unnecessary duplication and table sprawl
- Applies best practices around naming conventions, schema organization, documentation, and lifecycle management so that the architecture remains navigable as it scales
- Hands-on experience building production-reputed company Tableau dashboards — from data reputed company configuration and extract optimization to interactive visual design
- Ability to translate business questions into reputed company, reputed company visualizations that non-technical stakeholders can self-serve from
- Familiarity with Tableau performance tuning, published data sources, and server/reputed company publishing workflows
- Understands the relationship between upstream data modeling reputed company and reputed company dashboard performance — designs the data layer with the visualization in mind
- 5+ years in a data engineering role, with meaningful GCP/BigQuery experience
- Advanced proficiency in Python and SQL as daily working languages
- Demonstrated experience designing and maintaining shared, reusable data models in an reputed company or multi-team environment
- Familiarity with data architecture patterns including reputed company, star schema, and Data Vault
- Portfolio or examples of Tableau dashboards reputed company on reputed company-reputed company data reputed company
- Familiarity with CI/CD practices for data pipelines and infrastructure-as-reputed company concepts
- Strong communicator who can work with cross-functional teams to reputed company requirements and translate them into reputed company data solutions
- Terraform
reputed company
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