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Big Data Engineer (Java & Spark) Job Opening In Pune – Now Hiring Confidential


Job description

As a Big Data Engineer, you will be responsible for translating application storyboards and use cases into functional applications, designing and building efficient and reliable Java code.

You will ensure optimal performance, quality, and responsiveness of applications, while also identifying bottlenecks and devising solutions.

Your role will involve developing high-performance, low-latency components to run Spark clusters and collaborating with global teams to propose best practices and standards.

Technical Skills:

  • Programming Languages: Strong Java experience (8+ years) with Java 1.8 or higher; solid understanding of object-oriented programming and design patterns.
  • Big Data Technologies: Experience with HDFS, Hive, HBase, Apache Spark, and Kafka.
  • Data Processing: Proficient in processing data using Hive, Impala, and HBase; capable of performing analysis on large data sets.
  • APIs and Architecture: Experience in building self-service platform-agnostic data access APIs; knowledge of service-oriented architecture and data standards like JSON, Avro, and Parquet.
  • Analytical Skills: Experience in building advanced analytical models based on business context; strong analytical and problem-solving skills.
  • Development Practices: Familiarity with Agile/Scrum methodologies, SCMs like Git, and tools like JIRA; strong understanding of unit testing and SDLC activities.
  • Scripting and Databases: Experience with Linux shell scripting and RDBMS/NoSQL databases; good knowledge of database principles, practices, and SQL development (preferably with Oracle).
  • Performance Tuning: Experience in application performance tuning and troubleshooting in the Big Data domain.
  • Other Technologies: Familiarity with cloud and container technologies, build tools such as Maven, and continuous integration tools like Jenkins or Team City is a plus.

Experience:

  • 5-10 years of experience in software development, with strong Java and Big Data technology expertise.
  • Demonstrated ability to design solutions and mentor other developers within the team.
  • Proven experience in working with large data volumes and logical data structures.

Day-to-Day Activities:

  • Translate application storyboards and use cases into functional applications.
  • Design, build, and maintain reliable and efficient Java code.
  • Ensure optimal performance, quality, and responsiveness of applications.
  • Identify and resolve bottlenecks and bugs.
  • Develop high-performance components for Spark clusters.
  • Collaborate with global teams to propose best practices and standards.
  • Test software prototypes and facilitate handover to the operations team.
  • Process data using Hive, Impala, and HBase, and conduct analysis on large datasets.
  • Mentor and guide team members in technical skills and best practices.

Qualifications:

  • Bachelor s or Master s degree in Computer Science, Information Technology, or a related field.
  • Optional: Familiarity with Arcadia Tool for Analytics.

Soft Skills:

  • Excellent analytical and problem-solving abilities.
  • Strong communication and collaboration skills to work effectively with cross-functional teams.
  • Ability to mentor and guide junior developers.
  • Strong attention to detail and ability to work under pressure.
  • Creative thinking and initiative in proposing improvements and innovations.


Skills Required
Performance Tuning, Rdbms, Linux, Shell Scripting, Data Structures, Json, Oracle, Troubleshooting, Sdlc

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Big Data Potential: Insight & Career Growth Guide


Real-time Big Data 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 Big Data in Pune, India, highlighting market share and opportunities for professionals in Big Data roles.

147190 Jobs in India
147190
3682 Jobs in Pune
3682
Download Big Data Jobs Trends in Pune and India

Are You Looking for Big Data Engineer (Java & Spark) Job?

Great news! is currently hiring and seeking a Big Data Engineer (Java & 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 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 Pune. 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 Big Data Engineer (Java & Spark) 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 Big Data Engineer (Java & Spark) Job Success

Confidential interview tips for Big Data Engineer (Java & Spark)

Here are some tips to help you prepare for and ace your Big Data Engineer (Java & Spark) 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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Final Thought:

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

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