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AWS Data Engineer at THINKIT U S DBA MINDERA SOFTWARE CRAFT

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

23 Apr, 26

Salary

0.0

Posted On

23 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS, EMR, Python, PySpark, SQL, Data Pipeline Orchestration, GitHub, Jenkins, CI/CD, dbt, Terraform, Data Governance, Agile, Communication, Collaboration

Industry

Software Development

Description

We are looking for an experienced Data Engineer to design, build, and optimize scalable data pipelines and analytics solutions. The ideal candidate will have strong hands-on experience with cloud-based data platforms, big data processing, and analytics engineering best practices. Key Responsibilities Design, develop, and maintain scalable data pipelines using AWS EMR, PySpark, and Python Work closely with analytics and business teams to build reliable and high-performance data models Optimize data processing workflows for performance, reliability, and cost Ensure data quality, integrity, and consistency across data platforms Implement CI/CD practices for data pipelines using modern DevOps tools Collaborate using version control and follow best engineering practices Must-Have Skills Strong experience with AWS (especially EMR) Hands-on experience in Python and PySpark Strong SQL and analytical skills Experience with data pipeline orchestration and tooling Working knowledge of GitHub for version control Experience with Jenkins or similar CI/CD tools Familiarity with dbt Good-to-Have Skills Experience with Terraform or other Infrastructure-as-Code tools Deeper hands-on expertise with dbt Exposure to cloud cost optimization and data governance Nice to Have Experience working in Agile environments Strong communication and stakeholder collaboration skills What We Offer Opportunity to work on large-scale, modern data platforms Collaborative and engineering-driven culture Competitive compensation and benefits

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Responsibilities

The Data Engineer will design, develop, and maintain scalable data pipelines and work closely with analytics and business teams to build reliable data models. They will also optimize data processing workflows and ensure data quality across platforms.