Data Engineer

4 weeks ago

Bengaluru, India Notus Full time

AWS Data Engineer

Job Title: AWS Data Engineer

Location: Bangalore / Chennai

Experience: 8+ Years

Job Description:

We are seeking an experienced AWS Data Engineer to join our dynamic team. The ideal candidate will be proficient in designing, implementing, and maintaining data solutions on AWS cloud platform. This role requires expertise in AWS services, Kafka, Snowflake, and Python Design, develop, and maintain scalable data pipelines and architectures on AWS cloud platform.

- Implement real-time streaming solutions using Kafka for data ingestion and processing.

- Build and optimize data warehouses on Snowflake for efficient data storage and retrieval.

- Collaborate with cross-functional teams to gather requirements and deliver robust data solutions.

- Develop and maintain ETL processes to ensure data quality and integrity.

- Monitor and troubleshoot data pipelines to ensure smooth functioning.

- Stay updated with the latest technologies and best practices in data Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

- 8+ years of experience in data engineering, with at least 3 years of hands-on experience in designing and implementing solutions on AWS.

- Strong proficiency in AWS services such as S3, Redshift, Glue, EMR, Lambda, etc.

- Experience with Kafka for real-time data streaming and messaging.

- Proficiency in Snowflake for building and managing data warehouses.

- Advanced programming skills in Python.

- Strong understanding of data modeling, ETL processes, and data warehousing concepts.

- Experience with Agile development methodologies.

- Excellent problem-solving and analytical skills.

- Strong communication and collaboration abilities.

Preferred Qualifications:

- AWS certification(s) such as AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect, etc.

- Experience with other cloud platforms such as Azure or Google Cloud Platform.

- Familiarity with big data technologies such as Hadoop, Spark, etc.

- Knowledge of containerization and orchestration tools like Docker, Kubernetes, etc.

If you are passionate about leveraging AWS cloud services to build innovative data solutions and thrive in a collaborative environment, we encourage you to apply for this exciting opportunity. Join us in shaping the future of data engineering

(ref:hirist.tech)

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