- We are looking for a talented and experienced Data Engineer with a strong background in AWS with technology Glue, S3, Lambda, DynamoDB, Athena, and RedShift.
- The primary responsibilities will include Develop and deploy data processing and transformation frameworks to support both realtime and batch processing requirements.
- The ideal candidate will have at least 5 years of working experience in the field.
- Collaborate with stakeholders to understand business requirements and data needs, and translate them into scalable and efficient data engineering solutions using AWS Data Services.
- Design, develop, and maintain data pipelines using AWS serverless technologies such as Glue, S3, Lambda, DynamoDB, Athena, and RedShift.
- Implement data modelling techniques to optimize data storage and retrieval processes.
- Develop and deploy data processing and transformation frameworks to support both realtime and batch processing requirements.
- Ensure data pipelines are scalable, reliable, and performant to handle largescale data sizes.
- Implement data documentation and observability tools and practices to monitor and troubleshoot data pipeline performance issues.
- Adhere to privacy and security development best practices to ensure data integrity and compliance with regulatory requirements.
- Collaborate with the DevOps team to automate deployment processes using AWS Code Pipeline.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience working in data modelling and building realtime and batch processing data pipelines for largescale data sizes.
- Strong proficiency in Python programming language.
- Extensive experience with AWS serverless or managed services such as S3, Glue, EMR, Lambda, DynamoDB, Athena, and RedShift.
- Solid understanding of privacy and security development best practices.
- Excellent problemsolving skills and ability to troubleshoot complex data pipeline issues.
- Strong communication and collaboration skills, with the ability to work effectively in a crossfunctional team environment.
- Experience with Agile development methodologies is a plus.
- Competitive Salary
- Work Life Balance
- Professional Development
- Innovative Work Environment.
- Recognition and Rewards
-
Data Engineer
Found in: Talent IN 2A C2 - 18 hours ago
Hexaware Technologies Indore, IndiaI hope this email finds you well. We are thrilled to announce an exciting opportunity for talented professionals like yourself to join our team as an Azure Data Engineer. · We are hosting an Open Walk-in Drive in Indore on 27th April -Saturday, and we believe your skills in Datab ...
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Found in: Appcast Linkedin IN C2 - 18 hours ago
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Hexaware Technologies Indore, IndiaExperience : 4-13yrs · Work location : Chennai and Indore · Notice Period - Immediate - 30 days · Job Description · Company Description · At Hexaware, we're a global technology and business process services company dedicated to creating smiles through the power of great people ...
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Gammastack MP/Indore, India permanentImmediate joiners are only preferred · Job Description : · We are currently seeking a skilled QA Engineer specializing in Manual Testing, API Testing, and Load Testing to join our team. · The ideal candidate will have a strong background in these areas and a passion for ensuring ...
AWS Data Engineer - Pune/Ahmedabad/Bangalore/Indore, India - eInfochips
Description
Role :
AWS Data Engineer
Experience : 5+ years
Location :
Pune/Ahmedabad/Indore/ bangalore
Company Overview :
eInfochips, an Arrow company, is a global leader in product engineering and semiconductor design services.
Renowned for our technological innovations, we've developed over 500 products, achieving 40M deployments across 140 countries.
Our expertise spans digital transformation, IoT solutions, cloud platforms like AWS and Azure, and a range of engineering services in silicon, embedded systems, and software.
At eInfochips, we're committed to excellence, fueled by our experienced team and a culture of innovation.Job Description :
Key Responsibilities :
Requirements :
What We Offer :