
Senior Data Analyst
Trinetix
full-time
Posted on:
Location Type: Remote
Location: Ukraine
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Job Level
About the role
- Deliver data-driven solutions that optimize fleet utilization and operational efficiency across 46,000+ assets in 545+ locations.
- Enable decision-making through demand forecasting, asset cascading, contract analysis, and risk detection.
- Partner with engineering and business stakeholders to take models from concept to production on AWS.
- Design and develop ETL/ELT pipelines using Snowflake, Snowpipe, internal systems, Salesforce, SharePoint, and DocuSign.
- Build and maintain dimensional data models in Snowflake using dbt, including data quality checks (Great Expectations, Deequ).
- Implement CDC patterns for near real-time data synchronization.
- Manage and evolve the data platform across S3 Data Lake (Apache Iceberg) and Snowflake data warehouse.
- Prepare ML features using SageMaker Feature Store.
- Develop analytical dashboards and reports in Power BI.
Requirements
- 5+ years of experience in data analysis or data engineering
- 3+ years of hands-on experience building and supporting production ETL/ELT pipelines
- Advanced SQL skills (CTEs, window functions, performance optimization)
- Strong Python skills (pandas, API integrations)
- Proven experience with Snowflake (schema design, Snowpipe, Streams, Tasks, performance tuning, data quality)
- Solid knowledge of AWS services: S3, Lambda, EventBridge, IAM, CloudWatch, Step Functions
- Strong understanding of dimensional data modeling (Kimball methodology, SCDs)
- Experience working with enterprise systems (ERP, CRM, or similar)
- Nice-to-haves: Experience with data quality frameworks (Great Expectations, Deequ), Knowledge of CDC tools and concepts (AWS DMS, Kafka, Debezium), Hands-on experience with data lake technologies (Apache Iceberg, Parquet), Exposure to ML data pipelines and feature stores (SageMaker Feature Store), Experience with document processing tools such as Amazon Textract
Benefits
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Hard Skills & Tools
data analysisdata engineeringETLELTSQLPythondimensional data modelingdata qualitymachine learningdata synchronization