AWS Data Engineer

23 hours ago


Delhi, India Obrimo Technologies (Formerly known as Salecino) Full time
Job Title:

AWS Data EngineerExperience Required:

6+ YearsWork Hours:

12 PM to 9 PM ISTJob Description:We are seeking an experienced

AWS Data Engineer

with over 6 years of hands-on experience to join our dynamic team. The ideal candidate will have strong expertise in building and maintaining data pipelines, with in-depth knowledge of AWS services, data orchestration, and automation processes. You will be working on complex ETL processes, managing data workflows, and ensuring efficient data integration across the organization.Key Responsibilities:Develop, test, and deploy high-quality code using

Python

and

PySpark

to build scalable data pipelines.Design and implement complex

SQL queries

to manage and manipulate large data sets across multiple databases.Utilize

AWS services

such as

AWS Glue ,

AWS Lambda ,

AWS Redshift ,

AWS Step Functions ,

Kinesis ,

SNS ,

SQS , and

S3

to build and optimize data pipelines.Oversee the orchestration of data pipelines, ensuring seamless automation of workflows, whether on-premise or in the AWS cloud environment.Implement and manage

CI/CD pipelines

for smooth code integration, testing, and deployment across data platforms.Apply hands-on experience with

ETL tools

and frameworks to ensure robust data extraction, transformation, and loading processes.Collaborate with cross-functional teams to design and maintain

data warehouses

and ensure effective data management across multiple databases.Troubleshoot and resolve any issues related to data pipelines, workflows, and AWS infrastructure.Skills and Qualifications:6+ years of experience as a

Data Engineer

or similar role, with significant expertise in

AWS cloud services .Strong programming skills in

Python

and

PySpark .Proficiency in writing and optimizing

SQL queries

for complex data manipulations.In-depth experience with

AWS Glue ,

Lambda ,

Redshift ,

Step Functions ,

Kinesis ,

SNS ,

SQS , and

S3 .Demonstrated experience in orchestrating data pipelines and automating workflows on AWS or on-premise environments.Knowledge of

CI/CD pipelines

and best practices for continuous integration and deployment.Hands-on experience working with

ETL processes , tools, and frameworks.Experience in working with

data warehouses

and managing

multiple databases .Preferred Attributes:Ability to work in a collaborative environment with strong communication and problem-solving skills.Proven ability to handle complex projects and data architecture challenges.Proactive in identifying and implementing process improvements for data pipeline efficiency.


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