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For Employers

Data Engineer

JIT Global Infosystems Pvt. Ltd.

7 years

0 Lacs

chennai tamil nadu india

Posted:1 month ago| Platform:

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Skills Required

data analytics consulting leadership model healthcare management engineering mobility messaging aws integration design etl redshift sql api processing cataloging querying salesforce sap security optimization support documentation json git python development airflow

Work Mode

On-site

Job Type

Full Time

Job Description

Company Description:

JIT Global Infosystems Pvt. Ltd. delivers comprehensive Applications, Analytics, and Consulting services to clients worldwide. By combining technological expertise with deep domain knowledge, we ensure tangible improvements in business performance. Our experienced global leadership team utilizes an innovative delivery model to cater to a broad range of industries, including Banking, Insurance, Healthcare, Retail, and more. We specialize in Application Management, Infrastructure Management, and Product Engineering services, including Mobility and Messaging solutions for clients across diverse sectors.

Role Description:

Location:

We are looking for an experienced Data Engineer (5–7 years) with strong expertise in AWS data services and enterprise data integration. The ideal candidate will design, build, and optimize scalable data pipelines, warehousing solutions, and analytics platforms using AWS.

Key Responsibilities

Design and develop scalable ETL/ELT pipelines using AWS Glue, Lambda, and S3.
Build and optimize Amazon Redshift data warehouses and SQL queries.
Develop serverless integrations using API Gateway and Lambda.
Implement data processing, cataloging, and querying using Athena, Glue Catalog, and Step Functions.
Build dashboards and analytics using Amazon QuickSight.
Integrate data from Salesforce or SAP via APIs, connectors, or extractors.
Ensure data quality, security, performance optimization, and cost efficiency.
Provide production support and maintain documentation and best practices.

Required Skills

5–7 years of Data Engineering experience.
Strong hands-on experience with:
Redshift, AWS Glue, API Gateway, Lambda, Athena, QuickSight.
Strong SQL skills; experience with structured/semi-structured data (JSON, Parquet).
Experience in serverless and event-driven architectures.
Exposure to Salesforce or SAP data integration.
Experience with Git, CI/CD, and data modeling.

Good to Have

Python ETL development; Airflow or Step Functions; knowledge of data security standards.

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Data Engineer