Python +AWS Data Engineer

Basebiz

Hyderabad

On-site

INR 1,500,000 - 2,800,000

Full time

14 days+

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Job summary

Tech Mahindra is seeking an AWS Data Engineer with strong Python and AWS cloud experience. The candidate will build and maintain data engineering applications on AWS, focusing on serverless services, APIs, SQL, and cloud-native development.

Responsibilities include designing scalable data pipelines, developing RESTful APIs and backend services, and collaborating with stakeholders to deliver aligned solutions. Hybrid work arrangement with onsite days is expected.

Qualifications

  • Hands-on experience in Python, AWS Cloud, SQL, RESTful APIs, AWS CDK, and GitHub Actions.
  • Experience building data engineering applications on AWS.
  • Strong knowledge of AWS serverless services and cloud-native development.

Responsibilities

  • Design, develop, and maintain cloud-native applications using Python and AWS.
  • Develop scalable RESTful APIs and backend services.
  • Build and maintain serverless applications using AWS services.
  • Develop and maintain enterprise data engineering solutions.
  • Understand business requirements and align with product roadmaps.
  • Collaborate with stakeholders and participate in code reviews, testing, deployment.

Skills

Python
AWS Cloud
SQL
RESTful APIs
AWS CDK
GitHub Actions

Tools

AWS Lambda
Amazon SQS
Amazon S3
Amazon DynamoDB
AWS Step Functions
Amazon API Gateway
Amazon CloudWatch
AWS IAM
AWS KMS
AWS Glue
PySpark
CI/CD Pipelines

Job description

AWS Data Engineer (Python + AWS)

Client: Tech Mahindra

Job Summary

We are hiring experienced AWS Data Engineers with strong hands-on expertise in Python and AWS Cloud Services. This is not a Python Developer role. Candidates must have substantial experience building and maintaining data engineering applications on AWS.

The ideal candidate should have strong knowledge of AWS serverless services, REST APIs, SQL, and cloud-native application development.

Job Details
  • Role: AWS Data Engineer (Python + AWS)
  • Experience: 512 Years
  • Location: Pune / Hyderabad
  • Work Mode: Hybrid (3 Days Work From Office)
  • Transportation: Free Cab Facility
  • Notice Period: Immediate to 15 Days only
  • Interview: Weekday & Weekend
Mandatory Skills

Candidates must have hands-on experience in:

  • Python
  • AWS Cloud
  • SQL
  • RESTful APIs
  • AWS CDK
  • GitHub Actions
Strong Hands-on Experience with AWS Services
  • AWS Lambda
  • Amazon SQS
  • Amazon S3
  • Amazon DynamoDB
  • AWS Step Functions
  • Amazon API Gateway
  • Amazon CloudWatch
  • AWS IAM
  • AWS KMS
  • AWS Glue
Good to Have
  • PySpark
  • CI/CD Pipelines
Key Responsibilities
  • Design, develop, and maintain cloud-native applications using Python and AWS.
  • Develop scalable RESTful APIs and backend services.
  • Build and maintain serverless applications using AWS services.
  • Develop and maintain enterprise data engineering solutions.
  • Understand functional and non-functional business requirements.
  • Work closely with stakeholders to deliver solutions aligned with the product roadmap.
  • Maintain and enhance existing applications following enterprise best practices.
  • Participate in code reviews, testing, deployment, and production support.
  • Work from the office as per the organizations hybrid work policy.
Preferred Candidate Profile
  • 5-12 years of relevant experience.
  • Strong hands-on AWS Data Engineering experience.
  • Experience building production applications on AWS.
  • Good understanding of distributed systems and cloud-native architecture.
  • Strong communication and problem-solving skills.
  • Ability to work independently and in a collaborative team environment.
  • Candidates from Tier-1 organizations will be preferred.
  • Immediate or short notice joiners (within 15 days) will be given preference.
Important Note
  • This requirement is for an AWS Data Engineer.
  • Profiles with only Python development experience and no strong AWS Data Engineering background will not be considered.
  • All shortlisted profiles must be submitted through the ATS portal. Offline submissions will not be accepted.
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