Senior Data Engineer

- Responding to incidents and troubleshooting data- related issues;
- Ensuring data quality and integrity throughout the ETL processes;
- Collaborating with cross- functional teams
- Developing and implementing data models for efficient storage and retrieval of structured and unstructured data;
- Optimizing data processes for improved efficiency and reliability;
- Designing and implementing scalable and efficient data architectures to support the organization&039;s data needs;
* Why you’ll love working with us?
- Premium Health Insurance package (Inpatient VND 63m/year, Outpatient VND 8m/year and Dental Treatment VND 2m/year)
- Yearly company trip
- Quarterly salary review for adjustment; yearly performance review for promotion
- Working 5 days/week, from Mon- Fri, and 12- 15 day annual leaves; 13rd salary, 5 sick leave days.
- “Share to learn and learn to share” philosophy, friendly working environment with many energetic buddies.
- Opportunities for promotions and career development in a dynamic environment
- Many exciting internal activities and meaningful corporate social responsibility (CSR)

- Hands- on experience with ETL tools and frameworks for data integration and transformation (e.g., Azure Data Factory, AWS Glue);
- Knowledge of real- time data processing tools and frameworks (e.g., Apache Kafka, Apache Flink) for streaming data;
- Strong understanding of data modeling concepts for designing efficient and scalable databases;
- Experience with data visualization tools (e.g., Tableau, Power BI);
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) and their data services;
- Proficient in SQL for querying, updating, and managing databases;
- Experience with both relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra);
- Proficiency in at least one programming language such as Python, Scala, or Ruby for scripting and automation;
- Expertise in designing, implementing, and optimizing data warehousing solutions (e.g., Amazon Redshift, Snowflake).
- Familiarity with big data frameworks like Databricks Delta Lake or Apache Spark for processing and analyzing large datasets;

Cập nhật gần nhất lúc: 2024-04-17 06:25:30