Urgent! Big Data Engineer - Hadoop/Spark - Local Job Opening in Chennai
<p><p><b>Position Overview :</b><br/><br/>We are looking for a skilled and detail-oriented Big Data Engineer to design, develop, and maintain scalable data pipelines and architectures.
</p><p><br/></p><p>The role involves working with large datasets, integrating diverse data sources, and ensuring data availability for analytics, machine learning, and business intelligence.
</p><p><br/></p><p>The ideal candidate will have strong expertise in big data technologies and the ability to collaborate with cross-functional teams to deliver data-driven solutions.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Design, build, and optimize large-scale data pipelines for ingestion, transformation, and storage.<br/><br/></p><p>- Work with structured and unstructured data across multiple platforms and sources.<br/><br/></p><p>- Implement and maintain data lake and data warehouse solutions.<br/><br/></p><p>- Develop scalable ETL (Extract, Transform, Load) processes.<br/><br/></p><p>- Ensure data quality, security, and governance across systems.<br/><br/></p><p>- Collaborate with data scientists, analysts, and business teams to provide reliable data solutions.<br/><br/></p><p>- Monitor and optimize the performance of big data clusters and processing jobs.<br/><br/></p><p>- Research and integrate emerging big data tools and technologies.<br/><br/></p><p>- Troubleshoot and resolve issues related to data processing and storage.<br/><br/><b>Key Skills & Competencies :</b><br/><br/>- Strong knowledge of big data frameworks (Hadoop, Spark, Flink, Kafka).<br/><br/></p><p>- Hands-on experience with cloud platforms (AWS, Azure, GCP).<br/><br/></p><p>- Proficiency in SQL, NoSQL databases (MongoDB, Cassandra, HBase).<br/><br/></p><p>- Strong programming skills in Python, Java, or Scala.<br/><br/></p><p>- Knowledge of ETL tools and data integration techniques.<br/><br/></p><p>- Familiarity with data warehousing solutions (Snowflake, Redshift, BigQuery).<br/><br/></p><p>- Problem-solving and analytical skills with attention to detail.<br/><br/></p><p>- Ability to work in cross-functional teams and manage multiple projects.<br/><br/><b>Qualifications :</b><br/><br/>- Bachelors or Masters degree in Computer Science, Data Engineering, Information Technology, or a related field.<br/><br/></p><p>- 3 to 6 years of experience in data engineering or big data roles.<br/><br/></p><p>- Proven track record in handling large, complex datasets.<br/><br/></p><p>- Certifications in big data or cloud platforms (preferred but not mandatory).</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 Chennai, 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 Chennai, 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 135386 jobs in India and 3155 jobs in Chennai. 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! Impacteers 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 Impacteers 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 Chennai. 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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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Big Data Engineer Hadoop/Spark interview at Impacteers, 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 Impacteers'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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