Senior Data Analyst (BI)

As a Senior Data Engineer, you will be responsible for architecting, building, and optimizing scalable data pipelines and systems to support the organization&039;s data needs (automatic reporting, machine learning, AI). You will collaborate closely with cross- functional teams, including, cloud devops, software engineers, business analysts and stakeholders, to ensure seamless data integration, processing, and delivery. Leveraging your expertise in big data technologies, you will drive the evolution of our data architecture, ensuring reliability, scalability, and performance.
Key Responsibilities

Implement best practices for data quality, governance, and security to maintain the integrity and confidentiality of data assets.
Collaborate with business analysts and stakeholders to understand data requirements and translate them into technical solutions, ensuring alignment with business objectives.
Design, develop, and maintain automatic data visualization dashboards using respective data visualization tools.
Stay current with industry trends and advancements in data manufacturing, contributing to continuous improvement and innovation within the organization.
Design, develop, and maintain data pipelines and ETL processes to extract, transform, and load data into designated data warehouse.
Collaborate with business analysts, cloud devops to architect data models and schemas for efficient storage, retrieval, and analysis of structured and unstructured data.
Evaluate and implement new tools, frameworks, and technologies to enhance the capabilities of our data platform.
Perform ad- hoc data analysis requests on demand.
Mentor junior members of the team, providing guidance on technical design, coding standards, and best practices.

The Must- Haves

Experience with stream processing technologies (e.g., Kafka, Flink) and real- time data processing pipelines is a plus.
Understanding of machine learning models and AI, a proven track record of implementing a machine learning model or AI to solve business case is a huge plus.
Proficiency in programming languages such as Python, with experience in data processing frameworks like Spark.
Proficiency in visualization tools on market like PowerBI and Tableau with a proven track record of implementing and maintaining reporting system on Tableau Cloud or Azure Power App.
Effective communication skills, with the ability to collaborate with cross- functional teams and present technical concepts to non- technical stakeholders.
Understanding of data format like Avro, Parquet, Delta, ORC
Excellent problem- solving skills, with the ability to troubleshoot and debug complex data issues.
5+ years of experience in data industry, with a proven track record of designing and implementing complex data solutions.
Bachelor&039;s degree in Computer Science, Engineering, or related field.
Hands- on experience with platforms like Airflow
Strong understanding of relational and NoSQL databases, data modeling, and SQL query optimization (including optimizing and maintaining store procedures, triggers and functions).
Hands on experience with AWS services for data pipeline implementation including S3, Glue, Athena, Lambda, Event Bridge.

The Nice- to- Haves

Familiar with observability tools like Splunk, Kibana.
Understanding of Big Data Systems, Hive, Spark, Presto.
Hands- on experience with Google Cloud.
Knowledge of Kafka & Streaming (Flink).
Understanding PySpark or ScalaSpark.
Understanding of Git and CI/CD.
Understanding of LLM and Computervision.

Annual salary review
13th month salary.
Dedicated budget for staff training: technical, soft skills, English, Korean classes.
Telephone allowance.
Birthday gift
Funeral support
Marriage Gift
We provide yearly health check- ups with International Hospital.
Provide Travel Expense for work
We pay PIT
Holiday and Tet Gift
12 days of annual leave + 1 days of Establishment Ceremony Date + 2 days of Refresh Leave for 1 year joined
Baby born Gift
We pay health and social insurance.
Team Building activities:
Monthly birthday Party
Provide Laptop & Monitor
Annual outdoor Team building

Cập nhật gần nhất lúc: 2024-07-12 13:55:03