Associate Technical Architect (BigData) || Immediate joiner

10 - 15 years

20 - 25 Lacs

Posted:2 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Summary

We are seeking a highly skilled Technical Architect with deep expertise in Big Data technologies and AWS Cloud services. The ideal candidate will lead the design and implementation of scalable, secure, and high-performance data solutions using Python, PySpark, Spark, Hive, AWS EMR, and AWS Glue. This role requires strong leadership, architectural vision, and hands-on technical proficiency.

We are looking for immediate joiner or (Max 15 Day NP)

Multiple Location - Indore/Pune/Hyderabad/Noida/Gurgaon/Bangalore

Key Responsibilities

  • Architect and design end-to-end Big Data solutions on AWS Cloud
  • Lead development of scalable data pipelines using PySpark, Spark, and Hive
  • Optimize performance and cost-efficiency of data processing on AWS EMR and Glue
  • Collaborate with cross-functional teams to gather requirements and translate them into technical solutions
  • Ensure data governance, security, and compliance across all data platforms
  • Provide technical leadership and mentorship to engineering teams
  • Evaluate and recommend emerging technologies and tools for data engineering

Required Skills and Qualifications

  • Strong programming skills in Python and PySpark
  • In-depth knowledge of Apache Spark and Hive
  • Hands-on experience with AWS services including EMR, Glue, S3, Lambda, and CloudFormation
  • Proven experience designing distributed data processing systems
  • Familiarity with data lake and data warehouse architectures
  • Experience with CI/CD pipelines and DevOps practices in cloud environments
  • Excellent analytical, problem-solving, and communication skills
  • Bachelors or Masters degree in Computer Science, Engineering, or related field

Preferred Qualifications

  • AWS Certified Solutions Architect or equivalent certification
  • Experience with additional Big Data tools such as Kafka, Airflow, or Snowflake
  • Knowledge of containerization technologies like Docker and Kubernetes
  • Exposure to microservices architecture and RESTful API design

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