Data Engineer
2 months ago
Job Description :
You will work closely with the data analytics team to analyze and interpret data, develop data visualizations, and assist in data-driven decision-making processes. This includes collecting and cleaning data, conducting data analysis using statistical software, and creating reports and presentations to communicate insights.
Requirements :
- Knowledge of SQL, MongoDB, and Python is a must.
- Good Knowledge of Kafka or real-time working with Big Data and PySpark is a plus.
- Good knowledge of statistics is :
- Design, develop, and maintain data pipelines and ETL processes.
- Extract, transform, and load data from various sources into data warehouses and data lakes.
- Build and optimize data models for analytical purposes.
- Develop and maintain data quality standards and procedures.
- Collaborate with data analysts and scientists to support their data needs.
- Stay up-to-date with the latest data engineering technologies and best practices.
- Qualifications Minimum :
- 2 to 5 years of experience in data engineering or a related field.
- Strong proficiency in SQL, MongoDB, and Python.
- Knowledge of Kafka or experience working with real-time data processing (preferred).
- Familiarity with Big Data technologies and PySpark (preferred).
- Solid understanding of statistical concepts.
- Excellent analytical and problem-solving skills.
- Ability to work independently and as part of a team.
Preferred Qualifications :
- Experience with cloud-based data platforms (e.g., AWS, GCP, Azure).
- Knowledge of data visualization tools (e.g., Tableau, Power BI).
- Experience with data governance and compliance frameworks.
(ref:hirist.tech)-
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