Senior Data Engineer
1 month ago
We are seeking an experienced Senior Data Engineer with a strong background in AWS and ETL tools. The ideal candidate should have 6-8 years of experience in designing, developing, and managing large-scale data lakes on cloud environments, specifically AWS. Proficiency in ETL tools, SQL, and programming languages like UNIX, Python, Java, or Scala is required. Experience with data security best practices, data lake integration with BI tools, and Salesforce data extraction is a plus.
Key Responsibilities :
- Design, develop, and manage large-scale data lakes on AWS
- Work with ETL tools like Spark, Informatica, Talend, and AWS Glue
- Develop and optimize SQL queries for data processing and analysis
- Implement data modeling and schema design best practices
- Experience with Continuous Integration and Continuous Deployment (CI/CD) tools like Jenkins, Jules, and Spinnaker
- Job scheduling experience with Control-m, file watchers, alerts, and monitoring
- Migrate large-scale on-prem data lakes to cloud environments
- Integrate data lakes with BI tools like Tableau and Alteryx
- Ensure data security best practices while coding
Requirements :
- Bachelor's degree in Computer Science Engineering or a related field
- 6-8 years of experience in AWS and ETL tools
- Hands-on experience with AWS services like S3, Redshift, Glue, Lambda, etc.
- Strong experience with Spark, Informatica, Talend, and other ETL tools
- Proficiency in SQL and database management
- Knowledge of data modeling and schema design
- Experience with CI/CD and job scheduling tools
- Strong experience in migrating large-scale data lakes to cloud environments
(ref:hirist.tech)-
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