Data Engineer

1 month ago

Bangalore, India CYBERSAPIENT TECHNOLOGIES PRIVATE LIMITED Full time

Company Description :

CST Cyber Sapient is a company dedicated to helping clients achieve advocacy through exceptional product and service experiences. We work closely with our clients to drive change within their organization and provide support in areas such as strategic vision, product innovation, user experience, talent support, and technical delivery.

Our ultimate goal is to deliver the results that our clients require.

Role Description :

This is a full-time on-site role for a Sr. Data Engineer located in Bengaluru. As a Sr. Data Engineer, you will be responsible for tasks such as data engineering, data modeling, ETL (Extract Transform Load), data warehousing, and data analytics. You will collaborate with cross-functional teams to design and implement data solutions, ensuring data accuracy, availability, and performance.

Qualification :

- Data Engineering, Data Modeling, ETL (Extract Transform Load) skills.

- Data Warehousing and Data Analytics skills.

- Experience in designing and implementing data solutions.

- Proficiency in SQL and programming languages such as Python or Java.

- Strong understanding of data architecture and data management principles.

- Excellent problem-solving and analytical skills.

- Ability to work effectively in a cross-functional team.

- Experience with cloud platforms and big data technologies is a plus.

- Bachelor's or Master's degree in Computer Science, Data Science, or related field.

- GCP Knowledge is a must.

- Knowledge of Dataflow, Dataform, Data functions is a must.

- Experience is 8 to 10 years.


- Design, develop, and maintain data pipelines for ETL processes.


- Create and manage data models to support business requirements.


- Implement and optimize data warehousing solutions.


- Perform data analysis to derive actionable insights.


- Collaborate with cross-functional teams to integrate data solutions into business processes.


- Ensure data quality and consistency across various data sources.


- Troubleshoot and resolve data-related issues in a timely manner.

(ref:hirist.tech)

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