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Big Data / PySpark Developer

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Onsite

Big Data / PySpark Developer

VMC Soft Technologies, Inc

Big Data / PySpark Developer

Skills

SQL QueriesBig DataData AnalysisScalaAWSPySparkHadoopAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Karnataka, India

Work mode:

Onsite

Published on:

28 August 2026

What they need


Hiring: Big Data / PySpark Developer

Job Title: Big Data / PySpark Developer

Experience: 4 6 Years

Location: Chennai, Bangalore, Hyderabad

Work Mode: Onsite

Notice Period: Immediate Joiners Preferred Job Description

We are looking for an experienced Big Data / PySpark Developer with 4 6 years of experience in Big Data, Hadoop ecosystems, data warehousing, and cloud technologies.

Key Responsibilities

  • Develop and maintain Big Data applications using Hadoop, Hive, Spark, PySpark and related Big Data ecosystem tools.
  • Develop Scala/Spark jobs for data transformation, processing, aggregation, and analytics.
  • Work with large-scale data processing and HDFS concepts.
  • Optimize Hive/SQL queries and perform query tuning and performance enhancement.
  • Develop, test, deploy, and support applications across development and production environments.
  • Handle environment setup, connectivity, deployment, and production implementation activities.
  • Work with stream-processing technologies such as Spark Streaming, Storm, or Flink.
  • Follow DevOps and Agile development practices throughout the software development lifecycle.
  • Collaborate effectively with cross-functional teams in a complex organizational environment.
  • Understand and apply banking domain terminology and processes.
  • Take ownership of small to medium-sized projects and act as a primary technical contact when required.
  • Troubleshoot technical issues and demonstrate strong problem-solving and analytical skills.

Required Skills

  • Strong hands-on experience with Hadoop, Hive, Spark and PySpark.
  • Good knowledge of Big Data ecosystem tools.
  • Strong SQL skills, including query optimization and performance tuning.
  • Experience with Scala/Spark development.
  • Good understanding of HDFS and distributed data processing.
  • Experience with stream processing Spark Streaming / Storm / Flink.
  • Knowledge of DevOps practices and Agile methodologies.
  • Good understanding of Cloud Computing, preferably AWS or Azure.
  • Strong understanding of Object-Oriented Programming concepts.
  • Good analytical, troubleshooting, and problem-solving skills.
  • Exposure to Banking/Financial Services domain is preferred.
  • Ability to work independently and collaboratively in a complex organization.

Preferred Skills PySpark | Hadoop | Spark | Hive | SQL | Scala | HDFS | Spark Streaming | AWS/Azure | DevOps | Agile | Banking Domain Candidate Preference

Immediate Joiners Are Highly Preferred. How to Apply

Interested candidates can share their updated resume along with the following details:

  • Total Experience:
  • Relevant Big Data/PySpark Experience:
  • Current Location:
  • Preferred Location:
  • Current CTC:
  • Expected CTC:
  • Notice Period:
  • Contact Number:

Send your resume to:[email protected]

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