05 Senior Data Engineer

Data Modeling and Metrics Development

Define and compute key metrics such as customer acquisition, operational efficiency, and overall business performance.
Enable stakeholders to create tailored metrics and reports for data- driven decision- making
Develop and maintain sophisticated data models to support transactional, analytical, and predictive use cases.

Analytics Solutions and Data Products

Design advanced analytics solutions leveraging the data platform to provide actionable business insights.
Build scalable and reusable data products to support cross- functional teams, including marketing, operations, and finance.

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

Build metadata management systems and a centralized data catalog to enhance data accessibility.
Implement robust quality assurance processes to monitor and validate data accuracy, completeness, and timeliness.
Develop and enforce data governance policies to maintain high data standards.

Automation and Process Optimization

Automate data pipeline processes to enhance operational efficiency and scalability.
Optimize the performance of data transformation and query processes to reduce latency and improve system responsiveness.

Collaboration and Continuous Improvement

Stay updated with industry trends and incorporate innovative tools and methodologies into the data ecosystem.
Collaborate with data scientists, business analysts, and other engineers to align technical solutions with business goals.

Yêu cầu công việc

Experience with BI tools (e.g., Power BI, Metabase) to design actionable insights dashboards.
Strong understanding of data quality monitoring, validation frameworks, and metadata management tools.
Proficiency in modern data architectures (e.g., Data Lakehouse, Delta Lake, Apache Iceberg).
Proficiency in programming languages such as Python, Java, or Golang.
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.
4+ years of experience in data engineering, with a strong focus on data modeling and analytics.

Life at Epsilo

Lunch free
Company trip once time per years​
14 days annual leave per years
Team bonding: 20$/person/month
PVI insurance
ne day WFH per month

Working hour at Epsilo

Mon- Fri
9h00- 18h30, and break time 1h30

Cập nhật gần nhất lúc: 2024-12-20 16:50:03