Pune Maharashtra Kafka and streaming engineer Jobs – 130 Open Jobs Today

Data Engineer
Wexa AI —Pune, Maharashtra
- Up to ₹19,00,000 a year
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- SQL
Quick apply
Senior Software Engineer
Qualys —Pune, Maharashtra
- Full-time
- Oracle
- Computer Science
- Java
Confluent Integration Engineer
Zensar Technologies —Pune, Maharashtra
13d
Data Engineer (Databricks)
Bridgenext Digital Engineering —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- SQL
9d
AI / ML Engineer
Accenture —Pune, Maharashtra
- Full-time
- Azure
- Master's degree
- Databases
Data Engineer
Barclays —Pune, Maharashtra
- Oracle
- SQL
- AWS
Lead Software Engineer - Java/Python, AWS, Spark
JPMorganChase —Pune, Maharashtra
- Full-time
- Java
- Databases
- SQL
11h
Software Engineer
Barclays —Pune, Maharashtra
- Azure
- Oracle
- Java
Senior Software Engineer-DevOps
Barclays —Pune, Maharashtra
- Azure
- DevOps
- AWS
8d
Platform Engineer - AWS - Jefferies
Capco —Pune, Maharashtra
- DevOps
- AWS
- Communication skills
Quick apply
Senior Data Engineer
Mastercard —Pune, Maharashtra
- Full-time
- Computer Science
- SQL
- Bachelor's degree
Technology and Innovation - Data Engineering Manager
Riveron —Pune, Maharashtra
- Full-time
- Hybrid work
- Azure
- DevOps
- SQL
- Health insurance
- Paid time off
Solution Architect - Data Engineer
KSB SE & Co. KGaA —Pune, Maharashtra
- Full-time
- SQL
- AWS
- Python
Azure Data Engineer
Saaki Argus & Averil Consulting —Pune, Maharashtra
- Azure
- DevOps
- Java
Quick apply
Senior Software Engineer
EDMO —Pune, Maharashtra
- System design
- Java
- Master's degree
Quick apply
Senior AWS Data Engineer
EXL Service —Pune, Maharashtra
- Full-time
- Remote
- Computer Science
- SQL
- AWS
Lead Engineer - Data
Ollion —Pune, Maharashtra
- Full-time
- Remote
- Azure
- Java
- SQL
Quick apply
7d
Staff Software Engineer- Eng
UKG (Ultimate Kronos Group) —Pune, Maharashtra
- Azure
- Computer Science
- Java
Data Science Engineer
MHTECHIN —Pune, Maharashtra
- ₹12,00,000 - ₹24,00,000 a year
- Email
- Hybrid work
- Azure
- Computer Science
- Master's degree
- Health insurance
- Paid time off
Data Engineer Python
Scry Analytics —Pune, Maharashtra
- Databases
- SQL
- Machine learning

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Data Engineer

Wexa AI
Pune, Maharashtra

Quick apply

Job details

Full-time
Up to ₹19,00,000 a year

Qualifications

CI/CD
Performance tuning
Data modelling
Computer Science
Big data
Spark
Master's degree
SQL
Analysis skills
Bachelor's degree
Distributed systems
Continuous integration
IT
S3
Apache
Kafka
Communication skills
Data warehouse
Python
Information Technology

Full job description

Role : Data Engineer
Work Locations: Pune, Mumbai, Chennai, Bangalore
CTC: Up to 19 LPA
Experience: 6–10 Years
Domain: Cards & Payments
Background Verification: Pre-Onboarding

Job Summary

We are seeking a highly skilled Senior Data Engineer with strong expertise in PySpark, Apache Spark, Databricks, Airflow, and Cloud Data Platforms. The ideal candidate will be responsible for designing, developing, and optimizing large-scale data processing pipelines, building robust ETL frameworks, and supporting data engineering initiatives in the Cards & Payments domain.

The candidate should have hands-on experience working with distributed data processing systems, cloud-based data lakes, and workflow orchestration tools while ensuring scalability, performance, and reliability of data solutions.

Key Responsibilities

Design, develop, and maintain scalable data pipelines using PySpark and Apache Spark.
Build and optimize ETL/ELT workflows for processing large-scale datasets.
Develop and manage data solutions using Databricks, including Jobs, Workflows, and Delta Lake.
Create and maintain workflow orchestration processes using Apache Airflow.
Design and optimize complex SQL queries, stored procedures, and data warehouse solutions.
Develop and support cloud-based data lake architectures using Amazon S3 or equivalent cloud storage platforms.
Deploy and manage Spark workloads on EMR Serverless or other managed Spark environments.
Implement data quality checks, monitoring, and performance tuning across data pipelines.
Work closely with business stakeholders, analysts, and cross-functional teams to understand data requirements and deliver solutions.
Ensure adherence to data governance, security, and compliance standards.
Support real-time and batch processing use cases within enterprise data platforms.

Mandatory Skills

Strong hands-on experience with PySpark and Apache Spark internals.
Experience working with Databricks, including Jobs, Workflows, and Delta Lake.
Strong knowledge of Apache Airflow for workflow orchestration.
Advanced SQL skills and experience with Data Warehouse (DWH) systems.
Experience running Spark workloads on EMR Serverless or managed Spark platforms.
Hands-on experience with cloud data lakes using Amazon S3 or equivalent storage solutions.
Strong programming skills in Python.
Experience with Big Data technologies and distributed computing frameworks.

Desired Skills

Exposure to streaming frameworks such as:
Spark Structured Streaming
Apache Kafka
Experience with performance tuning and optimization of Spark applications.
Knowledge of CI/CD practices for data engineering deployments.
Familiarity with cloud-native data architectures and modern data platforms.

Preferred Experience

6–10 years of overall IT experience.
Experience in the Cards & Payments domain is preferred.
Strong understanding of data modeling, ETL frameworks, and data lake architectures.
Excellent problem-solving, analytical, and communication skills.

Education

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

Pay: Up to ₹1,900,000.00 per year

Application Question(s):

What is your total years of experience?

How many years of experience do you have with PySpark and Apache Spark?

What is your current CTC and expected CTC?

What is your notice period? Are you an immediate joiner?

Are you comfortable working from Pune, Mumbai, Chennai, or Bangalore in a hybrid work model?

Have you worked with EMR Serverless or any managed Spark platform?

How strong are your SQL skills? Have you worked with Data Warehousing solutions?

Can you explain your experience with Apache Airflow?

Work Location: In person

Quick apply

Refine Your Search

kafka and streaming engineer jobs in pune maharashtra

Data Engineer

Senior Software Engineer

Confluent Integration Engineer

Data Engineer (Databricks)

AI / ML Engineer

Data Engineer

Lead Software Engineer - Java/Python, AWS, Spark

Software Engineer

Senior Software Engineer-DevOps

Platform Engineer - AWS - Jefferies

Senior Data Engineer

Technology and Innovation - Data Engineering Manager

Solution Architect - Data Engineer

Azure Data Engineer

Senior Software Engineer

Senior AWS Data Engineer

Lead Engineer - Data

Staff Software Engineer- Eng

Data Science Engineer

Data Engineer Python

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