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Urgent! Big Data Engineer - Hadoop/Spark Job Opening In Bengaluru – Now Hiring IT Firm
<p><b>Role Overview :</b><br/><br/>As a Big Data Engineer, you will be responsible for building and maintaining scalable data pipelines and architectures that support data analytics, reporting, and real-time processing.
You will collaborate with data scientists, business analysts, and software engineers to design robust solutions that drive data-driven decisions.<br/><br/><b>Mandatory Skill Set :</b><br/><br/>- Extensive hands-on experience with the Hadoop ecosystem (HDFS, MapReduce, YARN).<br/><br/>- Strong expertise in Apache Spark for large-scale data processing and analytics.<br/><br/>- Proficiency in Hive writing complex HiveQL queries and managing Hive Metastore.<br/><br/>- Experience in developing and maintaining Apache Kafka-based streaming solutions.<br/><br/>- In-depth knowledge of HDFS storage management and optimization.<br/><br/>- Proven programming skills in Python or Scala for data pipeline development and automation.<br/><br/>- Strong expertise in writing complex SQL queries for data transformation and retrieval.<br/><br/>- Experience in workflow orchestration using Apache Airflow or Oozie to manage dependencies, schedule jobs, and monitor workflows.<br/><br/><b>Key Expectations :</b><br/><br/>- Proven experience implementing Big Data solutions in production environments theoretical knowledge is not sufficient.<br/><br/>- Ability to design and develop reliable, high-performance data pipelines to process large volumes of data.<br/><br/>- Strong debugging, optimization, and troubleshooting skills for distributed data applications.<br/><br/>- Good understanding of data modeling, schema design, and ETL best practices.<br/><br/>- Collaborative mindset to work effectively with cross-functional teams and deliver high-quality solutions.<br/><br/><b>Important Note :</b><br/><br/>We require candidates who have demonstrable, hands-on project experience in Big Data Engineering knowledge alone is not acceptable.
Candidates with only academic or certification-level exposure will not be considered.<br/><br/><b>What We Offer :</b><br/><br/>- Opportunity to work on advanced Big Data technologies and real-time data processing solutions.<br/><br/>- Exposure to challenging data engineering projects across different domains.<br/><br/>- Collaborative and innovative work environment focused on learning and growth.<br/><br/>- Qualified and experienced candidates are encouraged to apply through the platform.<br/><br/>- Take this opportunity to advance your career by contributing to cutting-edge Big Data projects.</p> (ref:hirist.tech)
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Unlock Your Big Data Potential: Insight & Career Growth Guide
Real-time Big Data Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Big Data in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 147194 jobs in India and 10442 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Big Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! IT Firm is currently hiring and seeking a Big Data Engineer Hadoop/Spark to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at IT Firm adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Big Data Engineer Hadoop/Spark Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Big Data Engineer Hadoop/Spark typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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