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Data Engineer (Inovata) Jobs
Company | Dealls – Jobs & Mentoring (YC W22) |
Address | Jakarta Raya, Indonesia |
Employment type | FULL_TIME |
Salary | |
Expires | 2023-07-22 |
Posted at | 10 months ago |
🙌🏻 About Us
Inovata Informatics will improve the way marketing, sales and supply chain management is carried out between traditional retailers, manufacturers and distributors greatly benefiting retailers, distributors and manufacturers.
We believe in creating win-win-win propositions and our platform technology will do just that. Visit our website to learn more about Inovata and the value we create for your organization.
💰Salary
Very competitive
👑 Job Role
- Develop and maintain data quality checks and monitoring processes to ensure data accuracy and reliability
- Implement ETL processes to extract, transform, and load data into the data warehouse or data lake
- Work closely with data analysts and data scientists to provide them with reliable and well-structured data for analysis and modeling
- Stay updated with the latest industry trends and technologies in data engineering and propose innovative solutions to improve data infrastructure
- Collaborate with cross-functional teams to understand data requirements and provide technical expertise for data-driven initiatives
- Design, develop, and maintain scalable data pipelines to support data ingestion, processing, and transformation from various sources
- Optimize and fine-tune data pipelines and database queries for performance and scalability
- Build and optimize data models and schemas for efficient storage and retrieval of data
⛩️ Requirements
- Knowledge of big data technologies and distributed computing frameworks (e.g., Hadoop, Spark)
- Strong problem-solving skills and ability to work independently with minimal supervision
- Excellent communication and collaboration skills to work effectively with cross-functional teams
- Experience with agile development methodologies and version control systems (e.g., Git) is a plus
- Familiarity with data warehousing concepts and technologies (e.g., Redshift, BigQuery)
- Proficiency in programming languages such as Python, Java, or Scala, and expertise in SQL
- 2+ years of experience as a data engineer, preferably in a startup or fast-paced environment
- Strong proficiency in data modeling, ETL development, and database systems (relational and NoSQL)
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Experience with cloud platforms such as AWS, Azure, or GCP, and familiarity with cloud-based data services
🎁 Perks
- Competitive Salary
- Medical Insurance
- THR / Bonus system
-
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