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AWS Data Engineer Kinesis

  • Source: Naukri
  • Zettamine Labs
  • On-site
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

Role & responsibilities

  • Design, develop, and maintain real-time data streaming pipelines using Amazon Kinesis Data Streams and Kinesis Data Firehose.
  • Develop and manage data producers and consumers for Kinesis-based streaming applications.
  • Implement real-time data processing using AWS Lambda, Kinesis Client Library (KCL), or Apache Flink.
  • Build data ingestion pipelines from multiple sources into Amazon S3, Redshift, OpenSearch, and other AWS data platforms.
  • Configure and optimize Kinesis streams, including shards, partition keys, throughput, scaling, retention, and consumer applications.
  • Develop serverless data-processing solutions using AWS Lambda and Kinesis.
  • Implement data transformation and delivery workflows using Kinesis Firehose and AWS Glue.
  • Monitor streaming pipelines using Amazon CloudWatch and troubleshoot performance, latency, and data-processing issues.
  • Implement appropriate IAM roles, policies, encryption, and security controls for AWS data pipelines.
  • Develop reusable and scalable data-processing components using Python or Java.
  • Optimize data pipelines for performance, reliability, scalability, and cost.
  • Participate in design discussions, code reviews, testing, deployment, and production support.
  • Collaborate with Data Engineers, Cloud Architects, Application Developers, and DevOps teams.

Preferred candidate profile

  • 5+ years of experience in Data Engineering / Cloud Data Engineering
  • Strong hands-on experience with Amazon Kinesis Data Streams
  • Experience with Amazon Kinesis Data Firehose
  • Strong knowledge of AWS Lambda
  • Experience with Amazon S3
  • Experience with AWS Glue
  • Good knowledge of IAM and CloudWatch
  • Programming experience in Python or Java
  • Strong understanding of real-time data streaming and event-driven architecture
  • Experience developing data ingestion and ETL/ELT pipelines
  • Good understanding of JSON, REST APIs, and data serialization formats
  • Experience with SQL and relational databases
  • Understanding of AWS networking and security concepts

If you are interested in this Above opporunity.Please provide following detail along with your updated profile to [email protected]

Primary Skill -

Total Experience -

Relevant Experience into AWS Data Engineer Kinesis -

Principle Employer/Client Company -

Payroll company in case of Contract -

Current location

Work Location -

LWD in case of Notice period -

Incase of Long Notice period, is there any possibility to negotiate the days? If so, in how many days? -

Current CTC -

Expected CTC -

Any offer in pipeline (Provide Detail) -

Have PF Deductions and Form 16 -

I will be reaching out to you over a call or email as soon as possible.

Thanks & Regards,

Ravi Teja Kora

TAG

ZettaMine Labs Pvt Ltd.

Skills

  • amazon-web-services
  • amazon-kinesis
  • amazon-kinesis-data-firehose
  • aws-lambda
  • flink
  • amazon-s3
  • amazon-redshift
  • opensearch
  • serverless
  • amazon-kinesis-firehose
  • aws-glue
  • amazon-cloudwatch
  • aws-iam
  • Python
  • Java
  • JSON

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