Senior Data Analytics Engineer

2 weeks ago


Bengaluru, Karnataka, India HARMAN India Full time

Harman India is a leading provider of premium infotainment and audio solutions, and we are seeking a highly skilled Senior Data Analytics Engineer to join our team.

Location: Bangalore, India

Estimated Salary: ₹25-40 Lakhs per annum

Job Description:

We are looking for a talented Senior Data Analytics Engineer to lead our big data initiatives and drive business growth through data-driven insights. As a key member of our team, you will be responsible for designing, developing, and implementing highly scalable and distributed big data solutions using Hadoop ecosystem technologies such as HBase, Hive, Kudu, and Spark.

Responsibilities:

Key Skills and Qualifications:

1. Big Data Engineering: Design and develop highly scalable and distributed big data solutions using Hadoop ecosystem technologies.

2. Data Modeling: Architect HBase schemas and data models to accommodate evolving business requirements and ensure optimal performance for data storage and retrieval operations.

3. Data Processing: Develop complex Hive queries and data processing pipelines to transform raw data into structured formats suitable for analysis and reporting.

4. Real-Time Processing: Implement data ingestion pipelines using Spark Streaming and Spark SQL for real-time processing of streaming data sources, ensuring high throughput and low latency.

5. Spark Optimization: Optimize Spark applications for performance and resource utilization, including tuning RDD transformations, optimizing data partitioning strategies, and leveraging in-memory caching.

6. Machine Learning: Utilize advanced features of Spark MLlib for machine learning tasks such as classification, regression, clustering, and collaborative filtering.

7. Fast Analytics: 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.

8. Collaboration: Collaborate with data scientists to integrate machine learning models into Spark workflows and productionize them for real-time predictions and analytics.

9. Troubleshooting: Troubleshoot performance bottlenecks, data quality issues, and system failures in big data applications and infrastructure, and implement solutions to address them.

10. Staying Up-to-Date: Stay abreast of emerging technologies and best practices in big data processing and analytics, and evaluate their potential impact on our architecture and solutions.

What We Offer:

We offer a competitive salary, a dynamic work environment, and opportunities for growth and development. If you are a motivated and talented Senior Data Analytics Engineer looking for a new challenge, please submit your application.



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