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Senior Data Architect
2 months ago
Merican Inc is seeking a highly skilled and experienced Senior Data Engineer to lead the design and implementation of a greenfield Order Management System (OMS) impact on the data ecosystem.
Key Responsibilities- Lead the design and implementation of the OMS data architecture.
- Develop and maintain data pipelines to ensure seamless data flow from the OMS to the data lake and data warehouse.
- Ensure data integrity, consistency, and availability across all data systems.
- Integrate data from various sources, including transactional databases, third-party APIs, and external data sources, into the data lake.
- Implement ETL processes to transform and load data into the data warehouse for analytics and reporting.
- Work closely with cross-functional teams including Data Science, Business Intelligence, and Product Management to understand data requirements and deliver solutions.
- Collaborate with data engineers to ensure data engineering best practices are integrated into the development process.
- Optimize data storage and retrieval to improve performance and scalability.
- Monitor and troubleshoot data pipelines to ensure high reliability and efficiency.
- Implement and enforce data governance policies to ensure data security, privacy, and compliance.
- Develop documentation and standards for data processes and procedures.
- Education: Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
- Experience: Minimum of 7-8 years of experience in data engineering, with a focus on data architecture and pipeline development.
- Proven experience with cloud platforms (GCP) and big data technologies (e.g., Airflow, Spark, DBT, Databricks, BigQuery, GCP Services).
- Hands-on experience with ETL tools and processes.
- Strong SQL skills and experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
- Experience with OMS platforms and their data integration.
- Knowledge of data visualization tools (e.g., Tableau, Power BI).
- Understanding of machine learning and data analytics.
- Certification in cloud platforms (AWS Certified Data Analytics, Google Professional Data Engineer, etc.).
