
Data Pipeline Engineer
3 days ago
Job Summary:
">- We are seeking a skilled professional to design, develop, and maintain data pipelines in Amazon Web Services (AWS).
- The ideal candidate will have experience with ETL tools, database management, big data analytics, and AWS services.
Key Responsibilities:
">- Designing and building ETL processes using AWS services like Apache Sqoop, AWS S3, Hue, AWS CLI, Amazon EMR, Amazon MSK, Amazon Sagemaker, and Apache Spark.
- Developing and maintaining data pipelines to move and transform data from diverse sources into data warehouses or data lakes.
- Ensuring data quality and integrity through validation, cleansing, and monitoring ETL processes.
- Optimizing ETL workflows for performance, scalability, and cost efficiency within the AWS environment.
- Troubleshooting and resolving issues related to data processing and ETL workflows.
Requirements:
">- Strong experience with ETL tools and technologies such as Talend.
- Proficiency in big data tools and AWS services including Apache Sqoop, AWS S3, Hue, AWS CLI, Amazon EMR, Amazon MSK, Amazon Sagemaker, and Apache Spark.
- Strong SQL skills for querying databases and manipulating data during the transformation process.
- Programming and scripting proficiency primarily in Python for automating tasks, developing custom transformations, and interacting with AWS services via SDKs and APIs.
- Data warehousing and modeling expertise including understanding data warehousing concepts, dimensional modeling, and schema design to optimize data storage and retrieval.
- Good to have experience with insurance domain.
Benefits:
">- Opportunity to work with cutting-edge technologies and innovative projects.
- Chance to contribute to the growth and success of the organization.
- A dynamic and supportive work environment.
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