Senior Data Engineer (Kafka & AWS) | FullTime with MNC | Pune | Hybrid

Carnation Infotech

6 - 11 years

15 - 25 Lacs

pune

Posted:4 days ago| Platform:

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Skills Required

pyspark data engineering kafka aws

Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Title: Senior Data Engineer (Kafka & AWS)

Responsibilities:

Develop and maintain
real-time data pipelines
using
Apache Kafka
(MSK or Confluent) and
AWS services
.
Configure and manage
Kafka connectors
, ensuring seamless data flow and integration across systems.
Demonstrate strong expertise in the
Kafka ecosystem
, including producers, consumers, brokers, topics, and schema registry.
Design and implement
scalable ETL/ELT workflows
to efficiently process large volumes of data.
Optimize
data lake
and
data warehouse
solutions using AWS services such as
Lambda, S3, and Glue
.
Implement robust
monitoring, testing, and observability
practices to ensure reliability and performance of data platforms.
Uphold
data security, governance, and compliance
standards across all data operations.

Requirements:

Minimum of
5 years of experience
in
Data Engineering
or related roles.
Proven expertise with
Apache Kafka
and the
AWS data stack
(MSK, Glue, Lambda, S3, etc.).
Proficient in coding with
Python, SQL, and Java
with
Java strongly preferred
.
Experience with
Infrastructure-as-Code (IaC)
tools (e.g.,
CloudFormation
) and
CI/CD pipelines
.
Excellent
problem-solving
,
communication
, and
collaboration
skills.
Flexibility to write production-quality code in both
Python
and
Java
as required.

Skills

Aws,Kafka,Python

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