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Big Data Engineer - Python/PySpark Job Opening In Hyderabad – Now Hiring People Prime World Wide


Job description

<p><p><b>Key Responsibilities :</b><br/><br/></p><p>- Design, develop, and maintain scalable ETL/ELT pipelines using Python and PySpark.<br/><br/></p><p>- Work with large-scale datasets across distributed systems like HDFS, Hive, and Spark.<br/><br/></p><p>- Optimize performance of data ingestion and transformation processes using Delta Lake and Apache Iceberg.<br/><br/></p><p>- Implement and manage file formats such as Avro, ORC, and Parquet.<br/><br/></p><p>- Design external tables and optimize partitioning strategies in Hive/Databricks.<br/><br/></p><p>- Perform DML operations across distributed data platforms ensuring consistency and performance.<br/><br/></p><p>- Collaborate with data architects, analysts, and stakeholders to ensure high-quality data Skills :</b></p><p><br/></p>- Strong programming skills in Python and PySpark.<br/><br/></p><p>- Deep knowledge of HDFS, Hive, and Spark internals and architecture.<br/><br/></p><p>- Proficiency in working with Delta Lake and Apache Iceberg.<br/><br/></p><p>- Hands-on experience with file formats: Avro, ORC, Parquet.<br/><br/></p><p>- Expertise in ETL pipeline design, data ingestion, and performance tuning.<br/><br/></p><p>- Knowledge of Hive Metastore, external tables, and partition strategies.<br/><br/></p><p>- Experience in performing DML operations over distributed data to Have :</b></p><p><br/></p>- Hands-on experience with SAS SPDE tables and migration strategies.<br/><br/></p><p>- Familiarity with Starburst, Databricks, or similar query engines/platforms.<br/><br/></p><p>- Understanding of modern data lakehouse architectures and query optimizations.<br/><br/></p><p>- Exposure to cloud data platforms (AWS, Azure, or GCP) is a plus.</p><p><b><br/></b></p><p><p><b>Why Join Us :</b></p><p><br/></p>- Opportunity to work on cutting-edge data platforms and tools.<br/><br/></p><p>- Flexible hybrid work model based in Hyderabad.<br/><br/></p><p>- High-impact role in a data-driven enterprise environment.<br/><br/></p><p>- Competitive contract-to-hire opportunity with long-term growth prospects.</p><br/></p> (ref:hirist.tech)

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 Hyderabad, India, highlighting market share and opportunities for professionals in Big Data roles.

138289 Jobs in India
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5350 Jobs in Hyderabad
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Download Big Data Jobs Trends in Hyderabad and India

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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 People Prime World Wide 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 Hyderabad. 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 Python/PySpark 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 Python/PySpark Job Success

People Prime World Wide interview tips for Big Data Engineer   Python/PySpark

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Before the Interview:

Research: Learn about the People Prime World Wide'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.

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

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

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To prepare for your Big Data Engineer Python/PySpark interview at People Prime World Wide, research the company, understand the job requirements, and practice common interview questions.

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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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