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Data Engineer (Python,AWS) H

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Summary

On-site senior data engineer role in Hyderabad: build and optimize real-time streaming data pipelines using Python and AWS services (Kinesis, MSK/Kafka, Lambda, Glue), lead data science initiatives, ensure data quality/governance, and mentor engineers. Targeting candidates with 12–18 years of experience.

Job role: Python & AWS


Experience: 12 to 18 Years

Notice Period: Immediate Joiners-60 Days

Location: Hyderabad


Technical Job Description

Skillset: Python & AWS Streaming


Job Summary

  • Seeking an experienced professional with 12 to 16 years of hands-on experience in Python for data science and AWS
  • Streaming Services. The candidate will be responsible for leading data science initiatives, building cloud streaming solutions, and optimizing real-time data pipelines.

Roles & Responsibilities

  • Design and build scalable data science solutions using Python for data manipulation, statistical modeling, and process automation.
  • Develop and optimize real-time streaming data pipelines leveraging AWS Streaming Services (Kinesis, MSK /Kafka).
  • Ensure high data quality, consistency, and governance across streaming and batch environments.
  • Analyze complex datasets to derive actionable insights for business decision-making.
  • Automate data workflows to increase operational efficiency and minimize manual intervention.
  • Provide technical leadership and mentorship to engineering team members in Python and AWS technologies.
  • Collaborate with stakeholders to translate requirements into scalable cloud architectures.

Key Skills & Qualifications

Python Expertise: Strong proficiency in Python for data analysis, modeling, and workflow automation.

AWS Streaming: Hands-on experience with AWS streaming platforms (Kinesis Data Streams, Firehose, MSK,

Lambda, Glue).

Data Governance: Experience establishing monitoring, data checks, and quality standards for streaming data.


Education: B.Tech/B.E or B.C.A + M.C.A


Interview:

Face to face interview is on 24 Oct, Saturday in Hyderabad.




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