05 Senior Data Engineer Python, MySQL

Data Modeling and Metrics Development

Define and compute key metrics such as customer acquisition, operational efficiency, and overall business performance.
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

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

Manage and maintain the SAS Data Mart, ensuring the integrity and security of ETL processes and underlying datasets.
Ensure high availability and performance of data marts by optimizing storage and retrieval mechanisms.

Data Quality and Governance

Develop and enforce data governance policies to maintain high data standards.
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.

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

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

Proficiency in modern data architectures (e.g., Data Lakehouse, Delta Lake, Apache Iceberg).
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.
4+ years of experience in data engineering, with a strong focus on data modeling and analytics.
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.

Life at Epsilo

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

Working hour at Epsilo

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

Cập nhật gần nhất lúc: 2024-12-20 17:05:03