Mô tả công việc
Performance review any time
The Job
Building super- app for e- businesses globally
Top 3 Reasons To Join Us
Attractive incentive program
Data Modeling and Metrics Development:
Develop and maintain sophisticated data models to support transactional, analytical, and predictive use cases.
Enable stakeholders to create tailored metrics and reports for data- driven decision- making
Define and compute key metrics such as customer acquisition, operational efficiency, and overall business performance.
Analytics Solutions and Data Products:
Build scalable and reusable data products to support cross- functional teams, including marketing, operations, and finance.
Design advanced analytics solutions leveraging the data platform to provide actionable business insights.
Data Mart Management:
Ensure high availability and performance of data marts by optimizing storage and retrieval mechanisms.
Manage and maintain the SAS Data Mart, ensuring the integrity and security of ETL processes and underlying datasets.
Data Quality and Governance:
Implement robust quality assurance processes to monitor and validate data accuracy, completeness, and timeliness.
Build metadata management systems and a centralized data catalog to enhance data accessibility.
Develop and enforce data governance policies to maintain high data standards.
Automation and Process Optimization:
Optimize the performance of data transformation and query processes to reduce latency and improve system responsiveness.
Automate data pipeline processes to enhance operational efficiency and scalability.
Collaboration and Continuous Improvement:
Collaborate with data scientists, business analysts, and other engineers to align technical solutions with business goals.
Stay updated with industry trends and incorporate innovative tools and methodologies into the data ecosystem.
Your Skills and Experience
Proficiency in programming languages such as Python, Java, or Golang.
Strong understanding of data quality monitoring, validation frameworks, and metadata management tools.
4+ years of experience in data engineering, with a strong focus on data modeling and analytics.
Experience with BI tools (e.g., Power BI, Metabase) to design actionable insights dashboards.
Advanced SQL skills and experience with data warehouses like BigQuery, Snowflake, or SingleStore.
Advanced expertise in ETL/ELT pipeline design, data modeling, and metrics computation using tools like Apache Airflow, NiFi, or dbt.
Proficiency in modern data architectures (e.g., Data Lakehouse, Delta Lake, Apache Iceberg).
Life at Epsilo
Why You&039;ll Love Working Here
Team bonding: 20$/person/month
Lunch free
ne day WFH per month
14 days annual leave per years
Company trip once time per years
PVI insurance
Working hour at Epsilo
Mon- Fri
9h00- 18h30, and break time 1h30
