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Lead I - Data Engineering
Global digital transformation solutions provider
Lead I - Data Engineering
Global digital transformation solutions provider's logo

Lead I - Data Engineering

at Global digital transformation solutions provider

Agency job
6 - 9 yrs
₹15L - ₹25L / yr
Pune
Skills
Data engineering
Apache Kafka
skill iconPython
skill iconAmazon Web Services (AWS)
AWS Lambda
Amazon S3
SQL
skill iconJava
AWS CloudFormation
CI/CD
ETL
ELT
Datawarehousing
Data Warehouse (DWH)
Data security
Data governance

Job Details

- Job Title: Lead I - Data Engineering 

- Industry: Global digital transformation solutions provider

- Domain - Information technology (IT)

- Experience Required: 6-9 years

- Employment Type: Full Time

- Job Location: Pune

- CTC Range: Best in Industry


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-solvingcommunication, and collaboration skills.
  • Flexibility to write production-quality code in both Python and Java as required.

 

Skills: Aws, Kafka, Python


Must-Haves

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

Notice period - 0 to 15days only

Read more
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