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10 Saltmine Jobs
Senior Analytics Engineer
Saltmine
posted 6hr ago
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Key skills for the job
Job Description
- Design Implement Scalable Solutions: Architect and implement end-to-end analytics systems, including data ingestion, modeling, and visualization, ensuring robustness and scalability for large data volumes.
- Data Modeling Pipeline Development: Create and maintain dimensional data models, build and optimize ETL/ELT pipelines, and automate reporting systems using modern data stack technologies (e.g., dbt, Airflow, Redshift, python, Sisense, Athena, Apache Iceberg).
- Collaborative Data Analysis: Partner with product teams to instrument and analyze user behavior data, translating business needs into technical requirements and delivering actionable insights.
- Data Quality Monitoring: Implement rigorous data quality checks and monitoring frameworks to ensure data accuracy, reliability, and consistency.
- Documentation Knowledge Sharing: Develop and maintain comprehensive documentation for data models, business logic, and analytical workflows.
- Mentorship Leadership: Guide and mentor junior engineers and analysts, fostering a culture of data engineering and analytics best practices.
Qualifications:
- 5+ years of experience in analytics/data engineering or similar roles within SaaS or enterprise settings.
- Advanced proficiency in SQL with proven experience in designing and implementing data models.
- Solid understanding of BI and visualization platforms (e.g., Looker, Sisense, Tableau, Power BI).
- Hands-on experience with dbt (or similar transformation tools) for data transformation and pipeline automation.
- Experience with cloud data warehouses such as Redshift, Snowflake, or BigQuery.
- Proficient in Python for data manipulation and analysis.
- Excellent communication and collaboration skills, with the ability to translate complex technical concepts to non-technical stakeholders.
Preferred Qualifications:
- Experience in modelling complex datasets for BI and analytics
- Experience with Airflow (or similar ETL tools).
- Experience with data governance and security best practices.
- Familiarity with real-time data streaming technologies (e.g., Kafka, Kinesis).
- Experience with machine learning and statistical modeling techniques.
Employment Type: Full Time, Permanent
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