Urgent! Big Data Engineer - Python/PySpark Job Opening In Hyderabad – Now Hiring People Prime World Wide
<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)
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Unlock Your Big Data Potential: Insight & Career Growth Guide
Real-time Big Data Jobs Trends in Hyderabad, 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 Hyderabad, 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 5516 jobs in Hyderabad. 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! People Prime World Wide is currently hiring and seeking a Big Data Engineer Python/PySpark 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 People Prime World Wide adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Big Data Engineer Python/PySpark Jobs India 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.
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. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview: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.
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 People Prime World Wide's products or services and be prepared to discuss how you can contribute to their success.
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