Senior Data Engineer

4 days ago


Remote, India Hirextra Full time

Responsibilities :

- Design, develop, and implement cloud-based data pipelines for efficient data movement and transformation.

- Migrate data workloads from on-premise to cloud storage solutions (e.g, AWS S3).

- Utilize cloud-based SQL and NoSQL databases (e.g, AWS Redshift, DynamoDB) for data storage and retrieval.

- Develop and maintain data pipelines using tools like AWS Glue and Airflow.

- Experience with serverless functions (e.g, AWS Lambda) for data processing tasks (a plus).

- Design and implement data models to ensure data consistency and quality.

- Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements.

- Monitor and maintain data pipelines to ensure smooth operation and performance.

- Develop and document data pipelines adhering to best practices and coding standards.

- Stay up-to-date on the latest advancements in cloud data technologies and best practices.

Experience & Skills :

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field (preferred).

- 4+ years of experience as a Data Engineer or a similar role.


- Hands-on experience with cloud-based SQL and NoSQL databases (e.g, AWS Redshift, DynamoDB).

- Proficiency in Python/Pyspark, SQL, and AWS services (Glue, Redshift, EC2, Lambda, S3).

- Strong understanding of data architecture and data modeling principles.

- Familiarity with data pipeline orchestration tools like AWS Glue and Airflow (a plus).

- Experience with Git for version control (a plus).

- Background in enterprise data warehousing and analytics (a plus).

- Excellent problem-solving, analytical, and communication skills.

- Strong collaboration skills and ability to work effectively with cross-functional teams.

- Ability to work independently and manage multiple projects in a fast-paced environment

(ref:hirist.tech)
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