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SourcingXPress
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Data Engineer

Data Engineer

SourcingXPress

8 years

20 - 30 Lacs

Coimbatore Tamil Nadu India

Posted:2 days ago| Platform:

Apply

Skills Required

data service cutting analytics technology processing tuning design apache spark kafka etl erp nosql query hive integration agile aws azure databricks programming hadoop mapreduce messaging sql joins optimization scrum leadership devops pipeline certifications collaborative

Work Mode

On-site

Job Type

Full Time

Job Description

Company:

KGIS

Website:

Visit Website

Business Type:

Enterprise

Company Type:

Service

Business Model:

Others

Funding Stage:

Pre-seed

Industry:

IT Services

Salary Range:

₹ 20-30 Lacs PA

About Us

At KGiNVICTA, we build cutting-edge digital and analytics solutions for global enterprises, combining domain expertise with advanced technology. Join our team to lead and deliver data-driven innovations that transform business outcomes.

Role Overview

We are looking for a seasoned

Big Data Engineer

with 5–8 years of hands-on experience in designing, developing, and optimizing large-scale data processing systems. You’ll play a key role in building scalable data pipelines, driving performance tuning, and leading cloud-native big data initiatives.

Key Responsibilities

Design and develop robust, scalable Big Data solutions using Apache Spark and related technologies.
Build batch and real-time data pipelines using Spark, Spark Streaming, Kafka, and RabbitMQ.
Implement ETL processes to ingest and transform data from RDBMS, ERP systems, and file-based sources.
Optimize Spark jobs for performance and scalability.
Work with NoSQL technologies like HBase, Cassandra, or MongoDB.
Query large datasets using tools like Hive and Impala.
Ensure seamless integration of data from heterogeneous sources.
Lead a team of data engineers and ensure adherence to Agile methodologies.
Collaborate with cross-functional teams to deliver cloud-based solutions on AWS or Azure (Databricks preferred).

Must-Have Skills

Deep expertise in Apache Spark and distributed computing.
Strong programming skills in Python.
Solid experience with Hadoop v2, MapReduce, HDFS, Sqoop.
Real-time stream processing using Apache Storm or Spark Streaming.
Proficient in working with messaging systems like Kafka or RabbitMQ.
SQL mastery: joins, stored procedures, query optimization, and schema design.
Hands-on with NoSQL databases – HBase, Cassandra, MongoDB.
Experience with cloud-native services in AWS or Azure.
Strong understanding of ETL tools and performance tuning.
Agile mindset and experience working in Agile/Scrum teams.
Excellent problem-solving skills and team leadership experience.

Nice to Have

Exposure to data lake and lakehouse architectures.
Familiarity with DevOps tools for CI/CD and data pipeline monitoring.
Certifications in cloud or big data technologies (AWS, Azure, Databricks, etc.).

Why KGiNVICTA?

Work on innovative projects with Fortune 500 clients.
Fast-paced, meritocratic culture with real ownership.
Access to cutting-edge tools and technologies.
Collaborative, growth-focused environment.

📩

Ready to take your Big Data career to the next level?

Apply now and be a part of our digital transformation journey.

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Data Engineer

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About Us

Role Overview

Big Data Engineer

Key Responsibilities

Must-Have Skills

Nice to Have

Why KGiNVICTA?

Ready to take your Big Data career to the next level?

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