Vacancy description
AMS
India
Data Engineers required ASAP in Maharashtra, India is listed on Jobeax. Browse 30,000+ vacancies available.
Data Engineer
Start Date
Starts Immediately
4 year(s)
4 year(s)
Apply By
Not Provided
Posted 1 day ago
Job
Be an early applicant
About the job
Job Description :
Looking for a handson AWS Data Engineering for a Japanese client with 4 to 5.11 years of total experience to design and deliver scalable, secure, and highperformance data platforms on AWS. This role focuses on strong individual contribution with technical ownership, working closely with global teams, leads, and clients to deliver enterprisegrade data engineering solutions. The position requires deep expertise in AWS data services, SQL, and Python, and the ability to build and optimize reliable data pipelines for analytics and business use cases.
Location: Mumbai, Pune, Bengaluru, Gurgaon
Shift: UK Shift timing (up to 11:00 PM)
Interview: 1 interview round must be face to face (mandatory)
Must Have:
Cloud & Data Engineering (AWS) Strong handson experience with AWS data services, including: Amazon S3, AWS Glue, Athena, Redshift Experience designing cloudnative data lakes and data warehouse architectures on AWS Deep understanding of batch and streaming data pipelines Experience building scalable, faulttolerant data ingestion and transformation workflows
SQL & Python (Mandatory) Strong SQL expertise Writing complex SQL for transformations, aggregations, performance tuning, and analytics Handson experience handling largescale datasets in Redshift / Athena Strong Python programming skills (mandatory) for data engineering use cases
PySpark / Sparkbased processing Building reusable ETL components, utilities, and data pipelines Strong understanding of data modeling, transformations, and performance optimization
Data Processing & Engineering Proven handson experience with distributed processing frameworks such as Spark / PySpark Experience working with structured, semistructured, and unstructured data Solid understanding of schema design, partitioning, and query optimization DevOps & Platform Engineering Experience with Infrastructure as Code using Terraform and/or CloudFormation Handson experience building and maintaining CI/CD pipelines for data platforms Exposure to containerized workloads (Docker, ECS/EKS where applicable to data workloads) Collaboration & Ownership Strong ownership mindset for solution quality, performance, and production stability Excellent communication skills to collaborate with Technical Leads, DevOps, QA, and business stakeholders.
Key responsibilities
Data Platform Design & Development Design and implement AWSbased data engineering solutions aligned to enterprise standards Build and optimize batch and streaming data pipelines using AWS native and opensource tools Develop SQLdriven transformations and Pythonbased data pipelines for analytics use cases Design efficient data models for performance, scalability, and cost effectiveness
Delivery & Quality Ownership Own data engineering deliverables from development through production support Perform performance tuning, cost optimization, and capacity planning Troubleshoot complex data pipeline and production issues, including rootcause analysis Ensure solutions meet requirements for security, reliability, and scalability
Engineering Best Practices Follow and contribute to coding standards, documentation, and data engineering best practices Participate in code reviews and continuous improvement initiatives Ensure adherence to AWS, security, and compliance guidelines
Earn certifications in these skills
+ 4 more skills
Who can apply
Only those candidates can apply who:
1. have minimum 4 years of experience
Salary
Probation: Duration:
Salary during probation:
After probation:
Annual CTC: Competitive salary
Number of openings
1
Editor’s note
Information above is Internshala's interpretation and paraphrasing of what we found on the shared link.
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