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Premium Employer

Celcom Solutions Global

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3.4

based on 15 Reviews

7 Celcom Solutions Global Jobs

Level 3 Big Data Developer

CELCOM SOLUTIONS GLOBAL PRIVATE LIMITED

3.4

based on 15 Reviews

4-6 years

Bangalore / Bengaluru

1 vacancy

Level 3 Big Data Developer

Celcom Solutions Global

posted 2mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics SQL Machine Learning Analytical Chemistry Big Data Spark

+ 3 more

Job Description

Should be able to design, develop, and implement highly scalable and distributed big data solutions using Hadoop ecosystem technologies such as HBase, Hive, Kudu, and Spark.
Should have knowledge on Architect HBase schemas and data models to accommodate evolving business requirements and ensure optimal performance for data storage and retrieval operations.
Should have knowledge on developing complex Hive queries and data processing pipelines to transform raw data into structured formats suitable for analysis and reporting.
Implement data ingestion pipelines using Spark Streaming and Spark SQL for real-time processing of streaming data sources, ensuring high throughput and low latency.
Optimize Spark applications for performance and resource utilization, including tuning RDD transformations, optimizing data partitioning strategies, and leveraging in-memory caching.
Utilize advanced features of Spark MLlib for machine learning tasks such as classification, regression, clustering, and collaborative filtering.
Design and deploy Kudu tables for fast analytical queries and real-time analytics, leveraging Kudu s unique combination of fast analytics and fast data ingestion.
Collaborate with data scientists to integrate machine learning models into Spark workflows and productionize them for real-time predictions and analytics.
Troubleshoot performance bottlenecks, data quality issues, and system failures in big data applications and infrastructure, and implement solutions to address them.
Stay abreast of emerging technologies and best practices in big data processing and analytics, and evaluate their potential impact on our architecture and solutions.