Data Engineer (2-5 yrs)

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 required.

Responsibilities :

- 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.