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WN Infotech

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347 WN Infotech Jobs

Big Data Developer

WN Infotech

1-3 years

Noida, Pune, Gurgaon / Gurugram + 1 more

1 vacancy

Big Data Developer

WN Infotech

posted 6d ago

Job Role Insights

Key skills for the job

Digital Marketing Computer Science Python SQL MongoDB Data Processing

+ 3 more

Job Description

Job Summary

As a Big Data Developer at Web Neural Infotech, you will design, develop, and optimize large-scale data processing systems to handle complex and massive datasets. You will work with cutting-edge Big Data technologies to build robust data pipelines, perform advanced data transformations, and ensure the scalability and performance of data workflows. Your contributions will support AI, ML, and Big Data-driven applications in a collaborative and innovative environment.

This role is open to freshers with a strong passion for Big Data and experienced developers eager to work on challenging projects.

Your Role and Responsibilities

Big Data Pipeline Development : Build and maintain scalable and efficient data pipelines for processing large datasets.
Data Transformation : Develop advanced ETL processes to extract, clean, transform, and load data into Big Data systems.
Distributed Processing : Design and implement distributed data processing workflows using Hadoop, Spark, or Flink.
Integration : Integrate Big Data systems with databases, APIs, and third-party tools.
Data Storage : Optimize data storage solutions using HDFS, NoSQL databases (e. g. , Cassandra, MongoDB), or cloud storage.
Performance Tuning : Optimize job execution, resource allocation, and query performance in Big Data frameworks.
Collaboration : Work with data scientists, analysts, and developers to ensure seamless data availability and accessibility.
Documentation : Maintain detailed documentation of Big Data architectures, workflows, and performance metrics.
Cloud Integration : Implement cloud-based Big Data solutions on platforms like AWS, Google Cloud, or Azure.

Required Technical and Professional Expertise

Big Data Frameworks : Proficiency in Hadoop, Apache Spark, or Apache Flink for distributed data processing.

Programming Skills : Strong knowledge of Python, Java, or Scala for developing Big Data applications.

Data Storage : Experience with HDFS, Hive, Cassandra, MongoDB, or other Big Data storage solutions.

Data Querying : Knowledge of SQL and HiveQL for querying large datasets.

Streaming Technologies : Familiarity with Kafka, Apache Flume, or similar tools for real-time data processing.

ETL Processes : Hands-on experience with ETL tools and workflows for Big Data.

Version Control : Proficiency in Git for managing Big Data scripts and workflows.

Cloud Platforms : Experience with cloud-based Big Data tools such as AWS EMR, Google DataProc, or Azure HDInsight.

Qualification & Experience Required

Education : Bachelor s degree in Computer Science, Data Engineering, or related fields.
Certifications (Preferred) :
- Certifications like Cloudera Certified Developer for Apache Hadoop (CCDH) , Databricks Certified Spark Developer , or equivalent are a plus.
Experience :
- Freshers with strong foundational knowledge of Big Data concepts and hands-on project experience are encouraged to apply.
- 1-3 years of experience in Big Data development or a related role is preferred.