JOB DESCRIPTION:
Stay up- to- date with emerging technologies and recommend improvements to our data architecture.
Automate data workflows and implement monitoring and alerting systems.
Implement data governance policies and procedures.
Optimize query performance and data retrieval processes.
Integrate various data sources and APIs into our data ecosystem.
Develop and maintain data models, schemas, and data dictionaries.
Ensure data quality, consistency, and security across all data platforms.
Design, develop, and maintain scalable data pipelines and ETL processes.
Implement and optimize data storage solutions, including data warehouses and data lakes.
Collaborate with data scientists and analysts to understand data requirements and provide efficient data access methods.
JOB REQUIREMENTS:
Must have:
Fluent in English
Strong programming skills in Python, Scala, or Java.
5+ years of experience in data engineering or similar roles.
Experienced in working with large ERP systems and has participated in building ETL pipelines from the analysis and design phases.
Proficiency in big data technologies (e.g., Hadoop, Spark, Hive).
Experience with version control systems (e.g., Git) and CI/CD pipelines.
Extensive experience with SQL, NoSQL, Vector databases
Certifications in relevant data platforms or cloud technologies (AWS, GG, Azure, Databrick, Dataiku, Snowflake)
Familiarity with data visualization tools (e.g., Tableau, Power BI).
Bachelor&039;s or Master&039;s degree in Computer Science, Engineering, or a related field.
Experience with ELT/ETL open source frameworks (DBT, Fivetran)
Flexible, with strong problem- solving skills and attention to detail.
Experience with data modeling, data warehousing concepts, and dimensional modeling.
Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
Nice to have:
Certifications in relevant data platforms or cloud technologies (AWS, GG, Azure, Databrick, Dataiku)
Experience with data governance and compliance requirements (e.g., GDPR, CCPA).
Experience with database migration projects
Experience with streaming data processing (e.g., Kafka, Flink).
Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
Familiarity with other data analytics tools such as Power BI, Tableau, etc.
Agile mindset
Knowledge of machine learning pipelines and MLOps practices.
COMPENSATION & BENEFITS:
🎯Flexible working regime and health care:
A flexitime allowance of 90- 180 minutes per month for employees
Flexible timekeeping (from 8:00- 9:00 to 17:30- 18:30)
01- day remote work per month
Social insurance, health insurance, unemployment insurance and MIC care insurance
01 hour paid leave per day for women having children under 12 months
Minimum 14 paid leaves per annum for all employees after probation
🎯Transparent and fair benefits:
Men’s Day, Women’s Day, Children’s Day, Mid- Autumn Festival and other benefits under the provisions of the company
13th- month salary
Saturday & Sunday OFF, Overtime pay is 150%, 200%, 300% as per labor law;
Work performance review 2 times/ year (in April and October)
Bonus Policy: Public holidays (2/9, 30/4, 1/5, 1/1,...); Personal Performances; Excellent Team; Performance bonus in Token of the project;..
🎯Dynamic environment and open culture:
Flat, open and sharing culture with friendly management team; outsourcing company with product mindset
Socialize with colleagues through monthly Happy Hour
Monthly allowance when joining clubs: Soccer, Swimming, Yoga, Music,...
Year- end party, sports day, yearly company trip and quarterly team building,...with a generous budget
Nice & modern working space with young, dynamic & friendly colleagues and free coffee, tea, drinks,...
🎯Strong learning culture:
Working opportunities with technical gurus who built and operated world- class applications with millions of users.
Free training courses for technical and soft skills (presentation skills, communication skills, foreign language courses,...)
Participate in workshops, seminars, tech talk,... with sharing from experts inside and outside the company
Account to log in to our online learning system, which contains thousands of valuable lectures (LMS)
