BigData Developer

Location: Prakāshamnagar

Industry & Sector:
Staffing & HR services firm delivering data-driven talent solutions and analytics platforms to enterprise clients across finance, retail, and healthcare in India. We are hiring an on-site Big Data engineering professional to design and operate scalable data platforms that power analytics and data products for our customers.

Primary

Job Title:

Big Data Engineer (on-site, India)

Role & Responsibilities

Design, build and maintain scalable batch and streaming data pipelines using the Hadoop ecosystem and Apache Spark.
Develop ETL workflows and data transformations using Hive, Sqoop, and PySpark; optimise partitioning, joins and queries for large datasets.
Implement real-time ingestion and messaging solutions with Apache Kafka; ensure fault-tolerance and low-latency processing for streaming use-cases.
Manage HDFS storage, data lifecycle, schema design and implement Map Reduce jobs or Spark jobs for heavy processing tasks.
Implement data quality checks, monitoring and alerting; troubleshoot performance bottlenecks and drive platform reliability improvements.
Collaborate with data scientists, analysts, and product teams to product ionize models, define SLAs and apply security and governance best practices.

Skills & Qualifications

Must-Have

Hadoop
Apache Spark
Hive
HDFS
Map Reduce
Apache Kafka

Preferred

Scala
Python
AWS EMR

Additional Qualifications

Bachelor's degree in Computer Science, Information Technology, or equivalent (or commensurate practical experience).
Proven track record of delivering production-grade big data solutions and working on on-site enterprise engagements in India.

Benefits & Culture Highlights

Hands-on, collaborative engineering culture with exposure to enterprise-scale data projects.
Competitive compensation, professional development support and access to modern big data tooling.
On-site role enabling close collaboration with cross-functional teams and faster delivery cycles.

How to Apply:

If you are a results-driven Big Data Engineer who thrives in on-site, client-facing environments and wants to build robust data platforms, please apply with an updated resume highlighting relevant Hadoop/Spark and streaming experience.

Skills:

big data,mapreduce,hive,hadoop,apache spark,apache kafka