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For Employers

Data Engineer

Slira Technologies And Services

7 - 10 years

15 - 25 Lacs

noida hyderabad bengaluru

Posted:1 month ago| Platform:

Apply

Skills Required

data lake aws python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Must have Skills*

1. 15 years of experience in design and delivery of Distributed Systems capable of handling petabytes of data in a distributed environment.

2. 10 years of experience in the development of Data Lakes with Data Ingestion from disparate data sources, including relational databases, flat files, APIs, and streaming data.

3. Experience in providing Design and development of Data Platforms and data ingestion from disparate data sources into the cloud.

4. Expertise in core AWS Services including AWS IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail, CloudWatch.

5. Proficiency in programming languages like Python and PySpark to ensure efficient data processing. preferably Python.

6. Architect and implement robust ETL pipelines using AWS Glue, defining data extraction methods, transformation logic, and data loading procedures across different data sources

7. 15 years of Experience in using IaC tools like Terraform etc.

8. 10 years of experience in development of CI/CD pipelines (GitHub Actions, Jenkins).

9. Experience in the development of Event-Driven Distributed Systems in the Cloud using Serverless Architecture.

10. Ability to work with Infrastructure team for AWS service provisioning for databases, services, network design, IAM roles and AWS cluster.

11. 2-3 years of experience working with Document DB.

12. Ability to design, orchestrate and schedule jobs using Airflow.

13. Knowledge of AWS AI Services like AWS Entity Resolution, AWS Comprehend.

14. Ability to run custom LLMs using Amazon SageMaker.

15. Ability to use Large Language Models (LLMs) for Data Classification and Identification of PII data entities

Skills:

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Data Engineer

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

Must have Skills*

1. 15 years of experience in design and delivery of Distributed Systems capable of handling petabytes of data in a distributed environment.

2. 10 years of experience in the development of Data Lakes with Data Ingestion from disparate data sources, including relational databases, flat files, APIs, and streaming data.

3. Experience in providing Design and development of Data Platforms and data ingestion from disparate data sources into the cloud.

4. Expertise in core AWS Services including AWS IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail, CloudWatch.

5. Proficiency in programming languages like Python and PySpark to ensure efficient data processing. preferably Python.

6. Architect and implement robust ETL pipelines using AWS Glue, defining data extraction methods, transformation logic, and data loading procedures across different data sources

7. 15 years of Experience in using IaC tools like Terraform etc.

8. 10 years of experience in development of CI/CD pipelines (GitHub Actions, Jenkins).

9. Experience in the development of Event-Driven Distributed Systems in the Cloud using Serverless Architecture.

10. Ability to work with Infrastructure team for AWS service provisioning for databases, services, network design, IAM roles and AWS cluster.

11. 2-3 years of experience working with Document DB.

12. Ability to design, orchestrate and schedule jobs using Airflow.

13. Knowledge of AWS AI Services like AWS Entity Resolution, AWS Comprehend.

14. Ability to run custom LLMs using Amazon SageMaker.

15. Ability to use Large Language Models (LLMs) for Data Classification and Identification of PII data entities

Skills:

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