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Data Engineer

Data Engineer

Bahwan CyberTekvizianagaram, andhra pradesh, in
17 days ago
Job description

Role Overview

We are seeking a skilled and motivated Data Engineer with 5–8 years of experience in building scalable data pipelines using Python, PySpark, and AWS services. The ideal candidate will have hands-on expertise in big data processing, orchestration using AWS Step Functions, and serverless computing with AWS Lambda. Familiarity with DynamoDB and deployment of ETL programs in AWS is essential.

Key Responsibilities

  • Design, develop, and maintain robust data pipelines using Python and PySpark
  • Handle large-scale data processing and transformation using AWS services
  • Implement orchestration workflows using AWS Step Functions
  • Develop and manage serverless components using AWS Lambda
  • Deploy and monitor ETL programs in AWS environments
  • Configure and optimize DynamoDB for data storage and retrieval
  • Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions
  • Ensure data quality, integrity, and security across all stages of the pipeline

Required Skills & Qualifications

  • 5–8 years of experience in data engineering or related field
  • Strong proficiency in Python and PySpark
  • Solid understanding of AWS services including S3, Lambda, Step Functions, Glue, and DynamoDB Experience deploying and managing ETL workflows in AWS
  • Familiarity with NoSQL databases, especially DynamoDB
  • Knowledge of CI / CD practices and infrastructure-as-code tools (e.g., CloudFormation, Terraform) is a plus
  • Excellent problem-solving and communication skills
  • Ability to work independently in a remote setup
  • What We Offer

  • Fully remote work environment
  • Opportunity to work on cutting-edge data engineering projects
  • Collaborative and inclusive team culture
  • Competitive compensation and benefits
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