Data Engineer

2 weeks ago

Bangalore, India Excellence and Eminence LLP Full time

About the Role:

We are seeking a talented and motivated Data Engineer to join our team and play a crucial role in building and maintaining our data infrastructure.

This role is ideal for a candidate with a strong foundation in data engineering principles and experience working with data pipelines and Design, develop, and implement data pipelines for efficient data extraction, transformation, and loading (ETL) processes.

- Utilize scripting languages (Python, SQL) and tools (e.g., Apache Airflow, Luigi) to automate data workflows.

- Work with various data sources (databases, APIs, flat files) to extract and integrate data.


- Clean, transform, and validate data to ensure its quality and usability for analysis.

- Design and implement data models for efficient data storage and retrieval in data warehouses (e.g., Snowflake, Redshift).

- Collaborate with data analysts and data scientists to understand data requirements and build solutions.

- Perform data quality checks and monitoring to identify and resolve data issues.

- Participate in the development and implementation of data security best practices.

- Stay up-to-date with the latest advancements in data engineering technologies and tools.

Requirements :

- 1-4 years of experience in data engineering or a related field.

- Strong programming skills in Python and/or SQL (familiarity with other scripting languages is a plus).

- Experience with data warehousing concepts and technologies (e.g., Snowflake, Redshift).

- Understanding of data ETL processes and data pipeline development.

- Familiarity with data quality principles and data cleaning techniques.

- Experience with cloud platforms (AWS, Azure, GCP) is a plus.

- Excellent problem-solving and analytical skills.

- Effective communication and collaboration skills to work effectively with cross-functional teams.

- Eagerness to learn and adapt to new technologies in the data engineering landscape.

(ref:hirist.tech)

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