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BigData and Hadoop Ecosystems Job Opening In Delhi Division – Now Hiring Confidential


Job description

Teamware Solutions is seeking a skilled professional for the BigData and Hadoop Ecosystems Engineer role.

This position is crucial for designing, building, and maintaining scalable big data solutions.

You'll work with relevant technologies, ensuring smooth data operations, and contributing significantly to business objectives through expert analysis, development, implementation, and troubleshooting within the BigData and Hadoop Ecosystems domain.

Roles and Responsibilities:

  • Big Data Platform Management: Install, configure, and maintain components of the Hadoop ecosystem (e.g., HDFS, YARN, Hive, Spark, Kafka, HBase) to ensure optimal performance, scalability, and high availability.
  • Data Pipeline Development: Design, develop, and implement robust and efficient data pipelines for ingestion, processing, and transformation of large datasets using tools like Apache Spark, Hive, or Kafka.
  • Performance Tuning: Monitor the performance of big data clusters and applications.

    Identify bottlenecks and implement optimization strategies for Spark jobs, Hive queries, and other big data processes.
  • Data Lake/Warehouse Design: Contribute to the design and implementation of data lake and data warehouse solutions leveraging Hadoop-based technologies.
  • ETL/ELT Processes: Develop and manage complex ETL/ELT processes to integrate data from various sources into the big data ecosystem.
  • Troubleshooting: Perform in-depth troubleshooting, debugging, and resolution for complex issues within the Hadoop ecosystem, including cluster stability, data processing failures, and performance degradation.
  • Security & Governance: Implement and maintain security best practices for big data platforms, including access control, encryption, and data governance policies.
  • Automation: Develop scripts and automation routines for cluster management, deployment, monitoring, and routine operational tasks within the big data environment.
  • Collaboration: Work closely with data scientists, data analysts, application developers, and infrastructure teams to support data-driven initiatives.

Preferred Candidate Profile:

  • Hadoop Ecosystem Expertise: Strong hands-on experience with core components of the Hadoop ecosystem (HDFS, YARN) and related technologies like Apache Spark, Hive, Kafka, HBase, or Presto.
  • Programming/Scripting: Proficient in programming languages commonly used in big data, such as Python, Scala, or Java.

    Strong scripting skills for automation.
  • SQL Proficiency: Excellent proficiency in SQL for data manipulation and querying in big data environments (e.g., HiveQL, Spark SQL).
  • Cloud Big Data (Plus): Familiarity with cloud-based big data services (e.g., AWS EMR, Azure HDInsight, Google Cloud Dataproc) is a plus.
  • Distributed Systems: Understanding of distributed computing principles and challenges in managing large-scale data systems.
  • Problem-Solving: Excellent analytical and problem-solving skills with a methodical approach to complex big data challenges.
  • Communication: Strong verbal and written communication skills to articulate technical concepts and collaborate effectively with diverse teams.
  • Education: Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related technical field.


Skills Required
Hadoop Ecosystem, Apache Spark, Python, Scala, Sql, Aws

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your BigData and Potential: Insight & Career Growth Guide


Real-time BigData and Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for BigData and in Delhi Division, India, highlighting market share and opportunities for professionals in BigData and roles.

61505 Jobs in India
61505
2989 Jobs in Delhi Division
2989
Download Bigdata And Jobs Trends in Delhi Division and India

Are You Looking for BigData and Hadoop Ecosystems Job?

Great news! is currently hiring and seeking a BigData and Hadoop Ecosystems to join their team. Feel free to download the job details.

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The Work Culture

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 Confidential adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Delhi Division. 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.

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Key qualifications for BigData and Hadoop Ecosystems typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for BigData and Hadoop Ecosystems Job Success

Confidential interview tips for BigData and Hadoop Ecosystems

Here are some tips to help you prepare for and ace your BigData and Hadoop Ecosystems job interview:

Before the Interview:

Research: Learn about the Confidential's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Be Yourself: Let your personality shine through while maintaining professionalism.

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Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your BigData and Hadoop Ecosystems interview at Confidential, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Confidential's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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