Data Engineer at Intetics Inc

, , Armenia -

Full Time

Start Date

Immediate

Expiry Date

31 Aug, 26

Salary

0.0

Posted On

02 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS Glue, Python, SQL, ETL/ELT, AWS S3, AWS Lambda, AWS Step Functions, Salesforce Integration, Microsoft Dynamics 365, CI/CD, Agile, Data Architecture

Industry

IT Services and IT Consulting

Description

Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Data Engineer to join our dynamic team on a full-time basis. Responsibilities Developing and maintaining ETL/ELT pipelines using AWS Glue Using AWS Glue Salesforce connectors to extract and ingest Salesforce data Transforming, validating, and enriching data within the AWS data platform Loading processed data into Microsoft Dynamics 365 using Glue integrations/connectors Designing scalable, resilient, and efficient cloud-based data workflows Developing Python scripts and Glue jobs for data processing and automation Writing and optimizing SQL queries for data transformation and analysis Monitoring and troubleshooting data pipelines and integrations Collaborating with engineering, platform, and business teams to deliver integrations quickly and reliably Supporting CI/CD processes and deployment automation for data solutions Following AWS best practices and Well-Architected principles Must-haves Essential Skills & Experience Strong hands-on experience with AWS Glue Strong experience with AWS cloud services, including: S3, Lambda, Step Functions, CloudWatch, SQS / SNS, ECS Experience building ETL/ELT pipelines in AWS environments Experience integrating data from Salesforce Strong SQL skills Proficiency in Python Experience processing structured and semi-structured data Good understanding of scalable and resilient data architectures Experience with CI/CD practices Experience working in Agile environments and fast-paced delivery teams Nice-to-have Experience integrating with Microsoft Dynamics 365 Experience with Terraform and/or CloudFormation Experience with Amazon Redshift Knowledge of Athena, Kinesis, DynamoDB, and DynamoDB Streams Experience building Spark/PySpark data processing jobs Understanding of enterprise data governance and compliance standards (GDPR/PECR/DPA) AWS certifications Experience with enterprise Salesforce implementations Experience with CRM migration or synchronization projects Exposure to event-driven or streaming-based architectures Experience working on cloud-based enterprise data platforms

Responsibilities

Develop and maintain scalable ETL/ELT pipelines using AWS Glue to integrate data between Salesforce and Microsoft Dynamics 365. Design cloud-based data workflows and optimize SQL queries for data transformation and analysis.